International Journal of Power Electronics and Drive Systems (original) (raw)

Papers by International Journal of Power Electronics and Drive Systems

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The output voltage of capacitive power transfer (CPT) system will change if the load resistance i... more The output voltage of capacitive power transfer (CPT) system will change if the load resistance is varied. This paper presents a method to regulate the output voltage using a controller that is located on the primary side, known as the primary side control technique. It does not require any additional components and wireless feedback, which lowers the cost and complexity of CPT system compared to the conventional control technique. Instead of directly measuring the output voltage on secondary side, it is estimated through the measured capacitor voltage on primary side. Modified sine wave control of the full-bridge inverter is adopted to regulate the output voltage. The proposed control technique is validated by the simulation via PSIM software using the practical parameters of capacitive coupler presented in the literature. Simulation results of the output voltage control against the step change in desired output voltage and load resistance indicate the performance of proposed control technique.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

This paper investigates the impact of grading capacitors on transient recovery voltage (TRV) duri... more This paper investigates the impact of grading capacitors on transient recovery voltage (TRV) during shunt reactor switching in high voltage systems, considering different levels of current chopping. Shunt reactor de-energization can result in voltage surges and instability due to current chopping effects. The study utilizes simulation models using ATP-Draw software to assess the effectiveness of grading capacitors in mitigating TRV under various operating conditions as well as of using a proposed method to mitigate the excessive TRV across the circuit breaker. The findings provide valuable insights into managing TRV during shunt reactor switching, enhancing power system stability and reliability. The results obtained showed that the TRV across the circuit breaker decreased by 61.5% by using circuit modification as well as adding a grading capacitor.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Recent power quality (PQ) research shows that the most common types of power quality disturbances... more Recent power quality (PQ) research shows that the most common types of power quality disturbances are voltage sags and swells in medium and lowvoltage distribution grids. This paper shows how to improve two significant power quality disturbances: sags and swells voltage. To find out what effect these two PQ issues have in real life, a study case based on real nonlinear loads data from large induction motors at Beshai Company in Sadat City in Egypt is investigated. The dynamic voltage restorer (DVR) has been suggested as a solution to the voltage swell and voltage sag issues. The point of common coupling (PCC) is linked with the dynamic voltage restorer to mitigate the PQ problems that have been found. The power network, loads, and DVR may all be modeled using the MATLAB/Simulink platform. The jellyfish search optimizer (JFS) is used to get the gain settings of the proportional and integral (PI) controller for the proposed DVR. MATLAB/Simulink's results show that the proposed device is effective, reliable, and has low latency.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Coordination of protective relays is a critical aspect of electrical distribution systems, ensuri... more Coordination of protective relays is a critical aspect of electrical distribution systems, ensuring effective and reliable protection against faults. In modern power systems, the integration of distributed generation (DG) sources adds complexity to the coordination task. The dynamic nature of DG systems requires adaptive relay settings that can swiftly detect and isolate faults while minimizing potential damage and downtime. The purpose of this research is to improve the coordination of directional over current relays in electrical distribution systems, particularly in DG systems. An optimization technique combining the grey wolf optimization (GWO) and cuckoo search algorithm (CSA) is developed to identify the best relay settings that reduce overall operation time while ensuring excellent fault identification and isolation. To address relay faults caused by DG integration, a suitable primary and backup relay design is chosen, and the influence of time multiplier settings (TMS) on system performance and reliability is investigated. The proposed GWO-CSA technique is evaluated and implemented on IEEE 3, 8 and 15-bus systems using MATLAB. Simulation results show that the GWO-CSA strategy outperforms well compared to previous algorithms, enabling optimal coordination and increased protection in DG systems while drastically lowering relay operating time.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Over decades, numerous methods have been used to optimize objective functions. Where cost and emi... more Over decades, numerous methods have been used to optimize objective functions. Where cost and emissions clash. The improved non-dominated sorting genetic algorithm (NSGA-II) employs elitism to discover the optimum value and speed convergence in multi-objective optimization problems. Population variant differential evolution algorithm alters differential evolution (DE). The main distinction between DE and population variant differential evolution algorithm (PVDE) is population replenishment. NSGA-II and PVDE are combined in the suggested hybrid approach. The hybrid technique solves multi-objective optimization problems efficiently by combining two or more methods. The hybrid technique solves multiobjective optimization problems well. This optimization problem pits cost vs pollution. The hybrid approach exposes half the population to the NSGA-II algorithm and half to the PVDE algorithm. In optimization problems with opposing aims, such as minimizing costs and emissions, a hybrid technique is utilized to find the optimal solution. Elitist diversity-preserving strategies avoid optimization issues becoming converging too soon. A 10-generator IEEE 39 bus test system was validated using this method. The hybrid NSGA-II and PVDE methodology achieves global optimal solutions with more durability, simplicity, and optimization performance than existing methods.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Electricity consumption is rising across all industries. Residential electricity use dominates th... more Electricity consumption is rising across all industries. Residential electricity use dominates the sector. Solar photovoltaic (PV) systems on residential roofs are increasing quickly, notably in Dhaka, Bangladesh. PV power generation is high at peak sun irradiance. Due to light loads, residential structures use less electricity. PV system surplus electricity may be transmitted to the national grid. Residential customers may sell power to the government, lowering their electricity expense. Traditional energy meters make it difficult to calculate PV system consumption by load and grid injection. This is possible with net metering. Thus, this study presents an internet of things (IoT)-based smart net energy meter for home users to provide surplus solar PV power and consume grid electricity when needed. With the government's new power tariff rate, the net bill will be calculated automatically. A dedicated mobile application is used to monitor all the activities. The billing statement will be generated automatically, and the payment of that bill will be payable using a redirect link with the same mobile application. The suggested smart net energy meter will inform SMS/mobile app users of gas, smoke, and tempering. The suggested meter's performance and efficacy were evaluated using software simulation and hardware analysis.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The need for renewable energy resources increases due to the day-by-day increase in load demand. ... more The need for renewable energy resources increases due to the day-by-day increase in load demand. Still, there is a need for new technology to operate the existing power system optimally. Distributed generation (DGENs) are helpful in meeting the demand of power due to its lower cost compared to the construction of the complete power system. But this DGEN is constructed using renewable resources, which are intermittent in nature. So, hybrid power generation, which uses multiple sources, is used to satisfy the power need. In this paper, validation, and test of a new multi-input single ended primary inductor converter (MI-SEPIC) is proposed. The performance of the MI-SEPIC converter is tested by connecting photovoltaic (PV), wind, and fuel cells. The proposed system is connected to the grid, and the power transients are analyzed. The direct quadrature (DQ) control of grid synchronization is discussed in this paper. The conventional PI controller is replaced with a hybrid particle swarm optimization tuned proportional integral control (PSOPIC), and the results are compared. Verification is done using MATLAB software. Validation and test with different test cases to prove the sturdiness of the complete system is explained.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

In the dynamic landscape of renewable energies, microgrid systems emerge as a promising avenue fo... more In the dynamic landscape of renewable energies, microgrid systems emerge as a promising avenue for fostering sustainable local energy generation. However, the effective management of energy resources holds the key to unlocking their full potential. This study assumes the task of creating a multi-objective optimization algorithm for microgrid energy management. At its core, the algorithm places a premium on seamlessly integrating renewable energy sources and orchestrating efficient storage coordination. Leveraging the prowess of a multi-agent system, it allocates and utilizes energy resources. Through the combination of renewable sources, storage mechanisms, and variable loads, the algorithm promotes energy efficiency and ensures a steady power supply. This transformative solution is underscored by the algorithm's remarkable performance in practical simulations and validations across diverse microgrid scenarios, offering a prevue into the future of sustainable energy utilization.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Integrated wind-photovoltaic (PV) based standalone electric power supply systems are widely used ... more Integrated wind-photovoltaic (PV) based standalone electric power supply systems are widely used for various applications. A battery storage system is needed to provide continuous power supply to loads despite changes in loads, wind speed, and solar irradiance. Power quality is crucial in these hybrid systems, as the battery needs to charge from surplus power when generation exceeds the load and discharge to meet load demand. A bidirectional DC to DC converter is used to connect the battery to the network, and maximum power point tracking devices with proper algorithms are incorporated for optimal utilization of PV and wind turbines. Multiple PV systems and wind turbines are considered for proper power supply system ratings. Long short-term memory (LSTM) based artificial neural network (ANN) controllers are implemented for various control units in the hybrid standalone power system. The proposed control techniques improve power quality under various situations. Results are presented using MATLAB/Simulink to evaluate the performance of the proposed method.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Dye-sensitized solar cells (DSSCs), a promising green technology, convert solar energy into elect... more Dye-sensitized solar cells (DSSCs), a promising green technology, convert solar energy into electricity more cost-effectively than traditional solar cells. While platinum (Pt) is commonly used in DSSCs, its high cost and toxicity limit practical applications. Recent research aims to develop low-cost counter electrodes with high efficiency. Nickel oxide (NiO), a p-type semiconductor with a wide bandgap, good transmittance, and suitable work function, emerges as a potential alternative for counter electrode of DSSCs. In this work, DSSCs with NiO of thicknesses varying from 100 nm to 1000 nm were simulated to determine its influence on photovoltaic performance using OghmaNano software. The structure of simulated solar cells consists of NiO as counter electrode, zinc oxide (ZnO) as photoanode, N719 as dyes, electrolyte as charge carrier transport, and fluorine-doped tin oxide (FTO) as a contact layer. There are five data of NiO used as an active layer. From the simulation results, NiO-doped gold exhibits the highest power conversion efficiency (PCE) of 15.95% at a thickness of 700 nm, while pure NiO shows the lowest PCE with 4.53% at a thickness of 600 nm. These results have demonstrated that NiO can replace Pt as a counter electrode for DSSCs and doping plays a vital role in increasing efficiency.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

In our proposed approach, we integrate AdaBoosting with particle swarm optimization-extreme learn... more In our proposed approach, we integrate AdaBoosting with particle swarm optimization-extreme learning machine (PSO-ELM) to enhance the accuracy of wind power estimation, addressing the inherent unpredictability and variability in wind energy. Initially, we refine the thresholds and input weights of the extreme learning machine (ELM) and then construct the PSO-ELM prediction model. AdaBoost is utilized to generate multiple weak predictors, each comprising a distinct hidden layer node. The PSO technique is then employed to optimize the input weights and thresholds for each weak predictor. The final forecast is attained by amalgamating and weighting the outcomes from each weak predictor using a robust wind power forecast model. Experimental validation utilizing data from Turkish wind turbines underscores the efficacy of our approach. Comparative analysis against contemporary techniques such as ensemble learning models and optimal neural networks reveals that our ADA-PSO-ELM model demonstrates superior accuracy and generalizability in predicting wind power output under real-world conditions. The proposed approach offers a promising framework for addressing the challenges associated with wind power estimation, thereby facilitating more reliable and efficient utilization of wind energy resources.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The study suggests a comprehensive approach to modeling and controlling variable-speed wind turbi... more The study suggests a comprehensive approach to modeling and controlling variable-speed wind turbine systems that utilize doubly fed induction generators (DFIGs). To make sure that energy is transferred efficiently between the DFIG rotor and the grid, a two-level inverter with perfect bidirectional switches is used. Using the tip speed ratio algorithm and taking into consideration the randomness in wind speed, the maximum power at the wind turbine is optimized. Then, the control strategy utilizes direct power control (DPC) due to its various advantages. The advantages of employing this control technique are manifold. Firstly, it eliminates the necessity for rotor current control loops. Secondly, it obviates the need for controllers such as PI controllers to manage torque and flux. Furthermore, it has yielded exceptional simulation results when implementing direct power control (DPC) within the MATLAB/Simulink environment, specifically in the context of a doubly fed induction generator (DFIG) wind power system.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The penetration of grid integrated distributed generation (DG) in the present decade, has benefit... more The penetration of grid integrated distributed generation (DG) in the present decade, has benefited rural communities, the environment, and the power sector. These renewable power sources based DGs could eliminate the need of extensive transmission networks, especially in remote areas, reduce emissions and improve power supply reliability. A significant drawback of grid integrated DG systems is the islanding of DG units, which puts workers' safety at risk and raises the possibility of damaging electrical infrastructure. Therefore, islanding detection techniques are used to reduce the danger associated with islanded functioning of DG units. Fast detection, small non detection area and less power quality disturbance are the major requirements of any islanding detection method. To address this issue of islanding, researchers have proposed various islanding detection strategies. This paper compares various q-axis controller-based islanding identification approaches: sub-harmonic perturbation (SHP), complementary reactive power perturbation (CRPP), and even harmonic perturbation (EHP). In all three proposed methodologies, the perturbations introduced result in frequency deviations surpassing the predefined threshold values. But the time of islanding detection is least in the CRPP approach. CRPP can also drift the total harmonic distortion (THD) beyond the corresponding threshold in an appreciable way. The performance of these (Islanding detection methods) IDMs is evaluated through simulations using MATLAB-Simulink on a PV fed DG. The efficacy of the comparative analysis is ensured with necessary waveforms.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The energy crisis in Nigeria has continued to impede the rapid expansion of the telecommunication... more The energy crisis in Nigeria has continued to impede the rapid expansion of the telecommunication industry, whose operating expenditure is galloping due to over-dependence on diesel generators as an alternative source of power to its base transceiver station (BTS). This fossil-fuel power source has also increased the industry's carbon footprint. As a solution to these problems, the objective of this work is to provide a sustainable and quality hybrid DC power supply system for BTS that would increase access to information and communication technology or ICT infrastructure. This involves the integration of solar & wind energy with the grid. The sizing of the hybrid subsystems was designed & simulated using MATLAB Simulink to test for functionality. A prototype of the design system was then implemented with the results showing an average power output that guarantees 21 hours/day of supply. By installing this hybrid system of 1.3 kW, approximately 2.55 kg of diesel (C10H20) would be un-utilized by one BTS, thereby preventing 3.6 kg of CO2 from been emitted to the atmosphere daily. Extrapolating these values shows 930.75 kg of diesel can be saved and reduce 1314 kg of CO2 emission within a year. Hence eliminating the need for diesel-backup generator for a grid connected or non-grid BTS sited in rural areas.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Exploiting natural sun and wind resources in remote and isolated areas is undoubtedly an excellen... more Exploiting natural sun and wind resources in remote and isolated areas is undoubtedly an excellent decision to generate electrical energy due to their availability and cleanliness. Various systems were used to generate this energy, such as photovoltaics (PV), wind turbine sand other energy systems. Moreover, for optimum energy use, some of these systems are combined either with each other or with other conventional systems, such as diesel generators with PV systems (i.e., hybrid systems). This work aims to present a technical-economic study of PV/diesel autonomous hybrid systems to supply electrical power for an isolated house located in a hot desert climate, Adrar. For optimizing the hybrid systems, hourly input data of solar radiation and load were used according to two configurations, where the annual load is 11.2 kWh/day. The findings showed that the diesel system had a high cost, with a cost for energy of 0.407/kWhandafuelpriceof0.407/kWh and a fuel price of 0.407/kWhandafuelpriceof0.140/l. Among the hybrid power systems but with significant pollution, the proposed hybrid system 2 kw photovoltaic and diesel generator with 2.3 kW has important economic feasibility, where the energy cost amounted to $0.172/kWh. In addition, CO2 emissions are reduced by approximately 5 tons every year compared to an independent diesel generator system.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The maximum power point tracking (MPPT) has been common terminology among the researchers for tho... more The maximum power point tracking (MPPT) has been common terminology among the researchers for those who deal with solar energy. A lot of techniques involving MPPTs have been investigated, evolved and proposed by researchers. But those techniques have got some advantages and suffer from limitation to some extent. The gravity of limitations varies from case to case. In current work, it has been investigated the MPPT based Boost Converter without and with MPPT which is perturb and observe (P&O) type. After observing its limitation, this method of MPPT is modified so as to make it suitable for extracting the maximum power from PV unit at all different load conductance's. In order to validate this concept, the mathematical model is developed using a MATLAB/Simulink environment and this Modified MPPT technique is implemented. The whole model is simulated and compared with conventional method. This concept is quite new and the proposed one exhibits better performance as compared to conventional methods.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

In rural areas, grid expansions and diesel generators are commonly used to provide electricity, b... more In rural areas, grid expansions and diesel generators are commonly used to provide electricity, but their high maintenance costs and CO2 emissions make renewable energy sources (RES) a more practical alternative. Traditional methods such as analytical, statistical, and numerical-based techniques are inadequate for designing an energy-efficient RES. Therefore, this study utilized the bat algorithm (BA) to optimize the use of hybrid RES for rural electrification. A feasibility study was conducted in the village of Kalema to assess energy consumption, and a diesel-only system was modeled to serve the entire community. The BA was used to determine the optimal size and cost-effectiveness of the hybrid RES, with MATLAB R (2021a) utilized for simulation. The BA's performance was compared with diesel only and GA using cost of energy (COE) and CO2 emissions as metrics. Diesel generators only produced a COE of 6,562,000and1679.6lb/hrofCO2emissions.COEwithBAwas6,562,000 and 1679.6 lb/hr of CO2 emissions. COE with BA was 6,562,000and1679.6lb/hrofCO2emissions.COEwithBAwas356,9781.37 (a 45.6% reduction) and CO2 emissions were 635.29 lb/hr (a 62.2% drop). Genetic algorithm (GA) resulted in $364,3122.46 COE and 652.69 lb/hr CO2 emissions, indicating 61.1% and 44.5% decreases, respectively. BA significantly reduced COE and CO2 emissions over GA, according to the analysis.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Stand-alone photovoltaic system or PV is a power generation technology with potential that is env... more Stand-alone photovoltaic system or PV is a power generation technology with potential that is environmentally friendly and also one of the solutions for saving high electricity rates today. However, problems that often occur due to weather fluctuations that are always changing, especially North Sumatra, Indonesia result in the conversion produced by solar cells not being optimal. Therefore, it is necessary to do a new model with a dual tracker system and the development of accelerator motor actuators so that the resulting energy conversion is more optimal. The result of optimizing the reliability of the polycrystalline type solar panel which is designed with an additional photovoltaic tracker system to maximize the conversion of solar energy to solar panels is to obtain an output power of 303.72 volts DC and 267.52 volts DC in the position where the tracker is not used. Then the percentage increase in energy reached 29.80%. Dual axis tracker technology is able to maximize energy conversion in improving PV usage performance. The implementation of a stand-alone PV system will be beneficial if the installation is in Indonesian territory, especially in disadvantaged, frontier and outermost areas.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The agro-industry is the backbone of the global economy, even in the twenty-first century. The ag... more The agro-industry is the backbone of the global economy, even in the twenty-first century. The agro-industry would not be what it is now without irrigation. The production and use of renewable energy in this sector of the agricultural economy have also expanded rapidly in recent years. Base-load power production and conversions dominate the literature. This research examines user concerns. The swarm nano grid system fixes this. The pulse width modulation (PWM) sinusoidal inverter converted stable DC power from the bidirectional DC-DC converter into sinusoidal AC voltage for the irrigation pump induction motor. Solar panels, batteries, and converters are costly, but they pay off. The nano grid distributes excess power generated during low demand to local loads. This technique works well when the load can be disconnected from the power grid. MATLAB is used to keep an eye on the reliability and efficiency of the induction motor. In the first simulation, solar power generation is modeled using the MATLAB Simulink software in two distinct modes. A PWM sinusoidal inverter that is driven by solar energy is what provides power to the 5.67 kW induction submersible motor. The simulation result provides a conceptual model of how induction motors powered by renewable energy sources function in practice.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Information technology servers are complex, delicate, and expensive systems; power grid interrupt... more Information technology servers are complex, delicate, and expensive systems; power grid interruption is one of the possible causes that can lead to hardware damage or logical disk structure damage, with severe consequences. Moreover, a power grid drop causes a sudden interruption of the services managed by a server. Uninterruptible power supplies (UPS) provide backup power when the regular power grid source drops. UPSs can only maintain a server for a short time. Therefore, it is necessary to introduce a blackout manager who can correctly shut down the server activities. Moreover, the manager must be able to restore the servers' status when the electrical grid power returns to its normal state. This paper proposes a possible UPS power manager able to manage servers during a prolonged electrical blackout. The UPS power manager identifies the blackout and keeps the servers safe by saving their state and shutting them down properly. Following the power grid restoration, the UPS power manager restarts the servers and restores their state. The proposed approach has been evaluated on a virtualization cluster used for critical activities at the Politecnico di Torino.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Since the range of an electric vehicle (EV) is important, vehicles with the longest range are pre... more Since the range of an electric vehicle (EV) is important, vehicles with the longest range are preferred. As a result, a survey is conducted on the longest-range vehicles commercially available to estimate the charging power required. EV range has recently increased significantly and can now be charged at home, adding to the benefits of EV. The paper will present the best three EV models with the longest range. So, the specifications of the most popular EV commercially available had been analyzed. Nonetheless, charging stations are still required, which is a critical issue. This paper discusses various approaches to EV charging stations that rely primarily on AC or DC power supply. The previous year’s accomplishments will be highlighted. The three EV charging station levels will be thoroughly addressed. It is primarily classified based on voltage, power and types. In this type of charging EV must equipped with rectifier to change AC-DC to charge batteries. The impact of rapid advancements in power electronics technology has been discussed as AC-DC converter, as its advancement will determine the future of EV charging stations. Renewable energy sources (hydropower, photovoltaic, and wind) are now essential as energy source. Recommendations for increasing EV sales will be made.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

With the increase in carbon emissions, noise pollution and other environmental impacts caused by ... more With the increase in carbon emissions, noise pollution and other environmental impacts caused by conventional vehicles, the demand for electric vehicles (EVs) is continuously increasing in the market. The transport sector has also been revolutionized with the use of EVs. The unique features such as reduction in noise pollution, carbon emissions and running costs and the capability of EVs to work in both grid-vehicle (G2V) and vehicle-grid (V2G) have made EVs popular nowadays. Still, it has several effects on the power distribution grid. There are several power issues due to the incorporation of electric vehicles (EVs) in the distribution network such as voltage instability, harmonics, and voltage fluctuations. This research paper focuses mainly on the harmonics caused in the system when EVs are connected to the distribution side. A distributed static compensator (DSTATCOM) based on the d-q theory is introduced to mitigate the harmonics along with the improvement in the voltage profile of the distribution side. By using MATLAB Simulink, the performance of DSTATCOM is validated and the comparison of the proposed approach is also done with that of similar work already existing in the literature.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

This comprehensive review delves into electrical machine fault diagnosis techniques, with a parti... more This comprehensive review delves into electrical machine fault diagnosis techniques, with a particular emphasis on three-phase induction motors. It covers a variety of faults, including eccentricity, broken rotor bars, and bearing faults. It also covers techniques like motor current signature analysis (MCSA), partial discharge testing, and artificial intelligence (AI)based approaches. This review focuses on fault diagnosis techniques for electrical machines, specifically eccentricity faults, squirrel cage rotor faults, and bearing faults. It discusses their efficacy, applications, and limitations, as well as the role of AI and neural network techniques in modern fault detection applications. The review covers not only eccentricity faults, but also stator or armature faults caused by insulation failure, as well as bearing faults classified as ball, train, outer, and inner races. It focuses on early detection to ensure optimal machine performance and reliability, while also providing insights into fault detection mechanisms. Modern ways of finding problems with machines, like non-negative matrix factorization, rectified stator current analysis, incremental broad learning, and AI-based methods, make machines work better and stop money from being lost. The review is a valuable resource for practitioners and researchers in the field, allowing them to make better decisions about maintenance strategies and increase machine efficiency.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The improvement of overall power quality and optimal control of reactive and active power are iss... more The improvement of overall power quality and optimal control of reactive and active power are issues that have attracted many researchers. The harmonic is considered a main stressful source for energy quality. This paper proposed the ability of artificial intelligence at controlling the active and reactive power and to reduce torque ripple and current harmonics thus improve energy quality and the stability of system, that by using the artificial intelligence controller and a neural network based space vector modulation with two levels inverter (NSVM-2L). These inverter hold the offer improved efficiency and have on account of their capability of high voltage operation compared with traditional inverters as reducing the harmonic. These results showed that the fuzzy logic controller's dynamic performance is very superior to that of the PID controller of DFIG. The fuzzy controller works well for helping us to minimize the rate of harmonic distortion of absorbed currents and for correctly adjusting active and reactive power and its stability of wind turbine compared to PID controller.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The inherent non-linearity of the system being investigated highlights the limitations of traditi... more The inherent non-linearity of the system being investigated highlights the limitations of traditional proportional integral or PI tuning approaches. Consequently, the primary objective of this study is to construct and refine the PI controller by leveraging the salp swarm algorithm, aiming to enhance the performance of the DC drive output. Through the application of the salp swarm algorithm, the fuzzy PI controller undergoes dynamic online modifications, leading to optimal results. The controller's superior performance is achieved by employing an optimization approach to identify the optimal set of solutions for the Fuzzy PI parameters. Rigorous simulations are conducted to comprehensively evaluate the proposed salp swarm algorithm technique, assessing its viability and efficacy in real-world. Thorough simulations assess the viability of the salp swarm algorithm, evaluating its effectiveness in real-world applications. The study demonstrates the methodology's reliability through comparative analyses of DC/DC converters against alternative methods. In non-linear systems like the DC drive, innovative optimization strategies are shown to significantly boost PI controller performance. The findings offer valuable insights for advanced control system design.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Lithium-Ion batteries are used in everyday DC equipment's, electric vehicle technology, and micro... more Lithium-Ion batteries are used in everyday DC equipment's, electric vehicle technology, and microgrid technology. The necessity to verify the battery's state is crucial for the dependent apps to continue operating without interruption due to advancements in battery technology & adaption. This study uses dimension decreases in input attributes along with deep learning methods to determine the state of health of lithium-Ion batteries (LIB). principal component analysis (PCA), a deep learning technique, is combined with recurrent neural networks (RNN) to reduce dimensionality. For the purpose of evaluating the effectiveness of the dimensionality reduction used in the data, the state of health (SOH) estimate using the RNN with and without PCA is compared. The use of PCA-powered RNNs using mean square error (MSE) as the loss function throughout the training and testing stages of stateof-health (SOH) estimation showed great performance in terms of loss. This was seen during the training and testing processes' respective testing and validation phases.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The actual and anticipated battlefield creates a model capable of accurately estimating the lifet... more The actual and anticipated battlefield creates a model capable of accurately estimating the lifetime of lithium-ion batteries used in electric cars. This inquiry uses a technique known as supervised machine learning, more particularly linear regression. In lithium-ion batteries, modeling temperature-dependent per-cells is the basis for capacity calculation. When a sufficient quantity of test data is accessible, a linear regression learning method will be utilized to train this model, ensuring a positive outcome in forecasting battery capacity. The conclusions drawn in the article are derived from the attributes of the initial one hundred charging and discharging cycles of the battery, enabling the determination of its remaining power. This determination facilitates the swift identification of battery manufacturing procedures and empowers consumers to detect flawed batteries when signs of performance degradation and reduced longevity are observed. MATLAB simulations have demonstrated the accuracy of the projected results, exhibiting a margin of error of approximately 9.98%. With its capacity to provide a reliable and precise means of estimating battery lifespan, the developed model holds the potential to revolutionize the electric vehicle industry.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Renewable energy systems play pivotal role in addressing the global challenge of sustainable ener... more Renewable energy systems play pivotal role in addressing the global challenge of sustainable energy production. Efficiently harnessing energy from renewable sources requires accurate prediction models to optimize system production. This paper delves into the realm of predictive modeling, focusing on the utilization of machine learning techniques to forecast system production in renewable energy systems. The investigation incorporates a range of factors such as wind speed, sunshine, air pressure, radiation, air temperature, and relative air humidity, alongside temporal data ('Date-Hour (NMT)'). These factors undergo rigorous curation and preprocessing to ensure the reliability and quality of the predictive model. Various machine learning algorithms, including linear regression, decision tree, random forest, and support vector machine (SVM), are employed to examine the relationships between these factors and system production. The findings are assessed using metrics such as mean squared error, mean absolute error, and R-squared. Through comparative analysis, the study illuminates the strengths and limitations of each algorithm, providing valuable insights into their suitability for renewable energy forecasting. This paper adds to renewable energy research by examining how machine learning predicts system production. The insights are valuable for researchers, practitioners, and policymakers in sustainable energy development.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The objective of this paper is to optimize the energy generation of a photovoltaic system by prop... more The objective of this paper is to optimize the energy generation of a photovoltaic system by proposing an improved maximum power point tracking (MPPT) technique. The proposed method combines an artificial neural network (ANN) with a backstepping controller to enhance the photovoltaic (PV) system’s efficiency and precision in diverse climatic conditions, including solar irradiance and temperature. The ANN is used to predict the optimal voltage at maximum power point (MPP) Vpv, ref, and the backstepping controller is used to control the DC/DC converter based on Vpv, ref. The results obtained using this technique are compared with those obtained from the perturbation and observation (P&O) technique. The proposed technique achieves better results than P&O in terms of efficiency, accuracy, stability, and response time. The simulations are performed on MATLAB/Simulink software.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Efficient wind farm development necessitates careful planning of wind turbine placement. The prim... more Efficient wind farm development necessitates careful planning of wind turbine placement. The primary aim of this optimization process is to strategically position turbines to minimize the wake effect. The ongoing study seeks to standardize wake losses across all turbines in the wind farm through the adoption of a novel diagonal layout. To achieve this objective, an objective function has been devised and employed by a genetic algorithm, aiming to maximize the energy production of the farm while avoiding the concentration of wake on specific turbines. This methodology was applied to the Gasiri wind farm using simulation. The results of the optimization show great promise, indicating a potential energy increase of 17% following the implementation of the optimized layout. Furthermore, the study highlights that the new turbine placements, characterized by higher nominal power, are more favorably aligned forward, in accordance with the wind direction, compared to their original positions. Additionally, a substantial reduction in the mechanical fatigue of the turbine blades was noted.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Accurate short-term solar irradiance forecasting is essential for the efficient management and pl... more Accurate short-term solar irradiance forecasting is essential for the efficient management and planning of power generation, especially for solar energy, which holds a major role in the Indonesian Government's energy transition policy. A novel day-ahead solar irradiance forecasting is proposed using a stacked long short-term memory (LSTM) model to support the energy planning in the Java-Bali grid. The proposed model utilizes the first historical solar irradiance data of Java-Bali obtained from direct measurement to forecast the next day's hourly irradiance. The results are compared with the methods of autoregressive integrated moving average (ARIMA) and recurrent neural network (RNN). This study revealed that the proposed model outperforms ARIMA and RNN, and regarded as a highly accurate forecast since root mean square error (RMSE), mean absolute percentage error (MAPE), and R 2 are 25.56 W/m 2 , 7.27%, and 0.99, respectively. The stacked LSTM produces better forecasting in the dry season than in the wet season. The MAPE indicates that the LSTM's lowest accuracy for the dry season was 13.99%, which is categorized as a good forecast. The LSTM's highest MAPE in the rainy season is 34.04%, which is categorized as a reasonable forecast. The proposed model shows its superiority and capability as a promising approach for short-term solar irradiance forecasting in Java-Bali.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Solar energy, especially photovoltaic (PV), is one of the most common renewable energy resources.... more Solar energy, especially photovoltaic (PV), is one of the most common renewable energy resources. Panel temperature and dust are the common problems which have a great effect on the conversion performance of PV. These problems can be alleviated by cooling and cleaning in order to improve its efficiency. This paper investigates the effect of PV cooling on the energy harvesting. The study is carried out experimentally using two similar PV panels which are subjected to the same environmental conditions and connected to similar load. The proposed cooling system is applied to one of these panels while the other is left without cooling for comparison. Five cases of water cooling are tested; surface cooling in two ways, back cooling using sprayers with and without cotton net, and hybrid cooling. The effect of cooling can be noticed from the measured load voltage and power. It is found that the surface cooling is the most effective because it achieved the best improvement comparing to others. When the panel temperature decreased from 65 to 42 °C, the load voltage increased from 32.55 to 35.8 V and the load power from 4.57 to 5.37 watts, with an improvement of about 10% and 18%, respectively.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The energy and environmental crisis are increasing every day. Where the focus of energy productio... more The energy and environmental crisis are increasing every day. Where the focus of energy production is being driven by renewable energy sources. Solar energy represents an inexhaustible source of energy that can be used almost anywhere. This paper presents the analysis of the energy performance of photovoltaic (PV) and photovoltaic thermal (PVT) panels for the climatic conditions of Kosovo. The site analyzed is the building of the University Clinical Center in Prishtina. The analysis included five types of photovoltaic modules from where the highest energy performance is shown by the PVT panels with a theoretical power produced during July 273 W while during December 78 W. Also, with an efficiency of 59.77% during the month of December and an efficiency of 17.08% during the month of July. While among the other types of PV panels, polycrystalline panels have the best performance with a theoretical power of 252 W during July and 72 W during December. But they showed an efficiency of 48.78 during the month of December and an efficiency of 13.94 during the month of July. The analysis made is presented in an analytical and detailed manner for certain climatic conditions of annual measurements.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

A resilient approach is presented in this study for detecting and classifying faults for power di... more A resilient approach is presented in this study for detecting and classifying faults for power distribution systems integrating renewable energy sources (RES). Combining discrete wavelet transform (DWT) and convolutional neural network (CNN). The suggested framework addresses the challenges of RES intermittency and kinetic energy insufficiency. The recommended methodology is evaluated in a MATLAB platform, featuring a power distribution system with photovoltaic (PV) and wind energy conversion system (WECS), stabilized by a boost converter and cascaded fuzzy logic controller (CFLC) based maximum power point tracking (MPPT) for PV and a PI controller for WECS. Comparative analyses demonstrate the superior performance of the CNN classifier with an accuracy of 96.33%, outshining existing classifiers, including ANN. Furthermore, under various fault conditions, the CNN consistently achieves high accuracy, with 98% for Islanding, 95% for line-to-ground fault, and 96% for line-to-line fault. The proposed approach exhibits excellent computational efficiency, with a training time of 10.5 hours, inference speed of 5 milliseconds, and resource utilization of 85%, emphasizing its suitability for instantaneous fault identification in power systems.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

This paper presents a nonlinear control in the stationary αβ reference frame for single-stage thr... more This paper presents a nonlinear control in the stationary αβ reference frame for single-stage three-phase grid-connected photovoltaic systems. The system under study consists of a photovoltaic generator (PVG), a three-phase inverter, and an LCL-filter on the grid side. The main control objectives are to extract the maximum power from the PVG and deliver that power into the grid with high-quality power i.e. unity power factor (UPF). In order to achieve these objectives, a nonlinear controller is designed by using backstepping technique. The performance of this controller is evaluated under standard and variable atmospheric conditions. Simulation results demonstrate that the proposed controller has successfully met all the specified objectives. This study highlights the potential of using the nonlinear control based on backstepping technique in photovoltaic systems with LCL-filters. The modeling and simulation of the complete system are carried out using MATLAB/Simulink environment.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The preference for permanent magnet synchronous generators (PMSGs) in wind energy conversion syst... more The preference for permanent magnet synchronous generators (PMSGs) in wind energy conversion systems (WECS) is due to their reliability, compactness, and efficiency. However, designing controllers for PMSG-WECS faces challenges from parameter uncertainties, nonlinearity, and grid integration. To address this, a novel passivity-based nonlinear controller (PBNC) is proposed to precisely track speed and torque. This unique PBNC employs a damped approach to address nonlinearity and integrates a fuzzy logic controller (FLPBNC) for robustness. The chosen strategy shapes energy dynamics using Lyapunov functions. The addition of damping elements ensures Lyapunov stability condition and boosts convergence while keeping the energy functions positive. The system design involves linking passive mechanical and electrical parts in a feedback loop. Meanwhile, for grid integration, a proportional-integral (PI) controller manages DC-link voltage and active power supply to the grid. MATLAB/Simulink simulations confirm the effectiveness of the proposed approach compared to conventional methods.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

This study describes the use of a passive filter to enhance power quality (PQ) of a multi-coil ch... more This study describes the use of a passive filter to enhance power quality (PQ) of a multi-coil charger for (EVs) using a solar connected system. Wireless charging solutions have been developed as a result of the rising demand for EVs, which use multi-coil chargers to transfer power wirelessly. However, the high-frequency switching used in these chargers can cause power quality issues, such as harmonic distortion, which can affect the performance of the EV and the grid. To reduce PQ incidence effect during charging, a MATLAB model has been created here. The proposed system provides an innovative approach to addressing power quality challenges associated with electric vehicle charging infrastructure. The integration of a passive filter for multi coil wireless power transfer (MCWPT) can significantly improve power quality and promote the use of clean energy in the transportation sector. This study contributes to the development of sustainable solutions for addressing the challenges associated with electric vehicle charging infrastructure.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Design and build a seaweed powder milling machine with the blue economy concept is one form of in... more Design and build a seaweed powder milling machine with the blue economy concept is one form of increasing the added value of selling seaweed in Indonesia and utilizing solar energy which is so abundant in Indonesia by using photovoltaic system. This machine is expected to increase the income of seaweed cultivators, and indirectly support the blue economy policy which is one of the policies in Indonesia. Design and build this machine using several supporting components, such as solar panel, battery control unit (BCU), inverter, battery, and motor to drive the seaweed powder milling machine. Testing is carried out by measuring the voltage and current output, and adding environmental conditions. Apart from that, the economics of the machine are also analyzed. Based on the results obtained, the machine can produce electrical energy in the range of 396.95-646 Wh/day, and can operate for up to 131 minutes, with a seaweed flour output of 10-20 kg per hour. From an economic perspective, the payback period is 0.22 years, NPV of IDR 605,286,359.01, with an IRR of 449%. From this value it can be seen that economically the tool is profitable if used by seaweed cultivators.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

Solar energy produced using solar panels is a renewable source of electricity. Over the years, se... more Solar energy produced using solar panels is a renewable source of electricity. Over the years, several studies have been developed in the field to increase the performance efficiency of these panels. Therefore, this study aims to develop dual-axis solar tracker with the addition of Fresnel lens to improve performance efficiency. The system implemented consisted of multisensors, servo motors, Fresnel lenses, Arduino nano, and NodeMCU ESP32. In the experiments, proposed tracking system with and without Fresnel lens were evaluated to compare the output of both setups. The results showed that the maximum power of dual-axis solar tracker with and without the device was 13.60 W and 15.78 W, respectively, at the same radiation intensity, temperature, and time. These findings showed that the proposed tracking system could increase the maximum power efficiency of solar panels by 16.03%. Furthermore, the maximum value was obtained when dual-axis solar tracker with Fresnel lens moved from E to W at 23o to the horizontal.

International Journal of Power Electronics and Drive Systems (IJPEDS), 2024

The transition towards an eco-friendly and lasting energy system is enabled by the presence of el... more The transition towards an eco-friendly and lasting energy system is enabled by the presence of electric vehicles (EVs) and the utilization of renewable energy resources. Despite its intermittent occurrence, solar energy empowers sunny areas to capture renewable energy from sunlight and produce electricity continuously all day long. This energy will be able to smooth the consumption peaks during peak hours and ensure the electrical network flexibility by being injected at various voltage levels. Electric vehicles are supplied by low voltage recharging stations and are seen as power loads that, if rapidly and simultaneously recharged, could potentially affect the stability of the electrical grid. This paper introduces an intelligent method for electric vehicle charging designed to mitigate the impact of simultaneous charging, specifically addressing voltage drop issues. Furthermore, this study demonstrates the positive impact of integrating photovoltaic energy into the distribution network, serving as support, and alleviating the afore cited impact. The simulation results obtained using MATLAB/Simulink illustrate the effectiveness of the proposed strategy in charging electric vehicles, particularly in reducing the observed voltage drop. There is a notable enhancement in voltage drop across all study cases, amounting to a 27 V improvement compared to charging without the proposed method.