Ahteshamul Haque | Jamia Millia Islamia University, New Delhi (original) (raw)

Papers by Ahteshamul Haque

2019 International Conference on Power Electronics, Control and Automation (ICPECA), 2019

This paper focuses on the topic of reliability analysis and lifetime evaluations for various powe... more This paper focuses on the topic of reliability analysis and lifetime evaluations for various power electronic components in a photovoltaic (PV) inverter. The basic indices used in reliability from the mathematical and customers’ points of view are discussed. The most critical components like insulated gate bipolar transistors (IGBT), metal oxide semiconductor field effect transistor (MOSFET), heatsinks and capacitors, which contributes in failure are identified and the mathematical indices are used to evaluate the reliability of hese components. In addition, this review identifies the failures and their causes for various components, providing an insight for keys aspects of performance enhancement. Further, different methods used for analyzing the performance and reliability are discussed for better understanding.

With the increasing concern over global warming, the use of hybrid electric vehicle is being enco... more With the increasing concern over global warming, the use of hybrid electric vehicle is being encouraged. In this the cars are fueled by a combination of traditional gasoline engine along with an electric battery, thereby reducing the dependence on fuel consumption and hence improving the performance. In Hybrid electric vehicle (HEV) there are different voltage buses for different purposes of vehicle operation. Bidirectional DC-DC converter is used in HEV to connect these buses for battery charging and regenerative braking. In this paper a control method is proposed which gives an easy, efficient and reliable method of controlling the converter by switching buck and boost operation depending on the speed of the vehicle. The simulation study is done by using PSIM simulation software

Applications of AI and IOT in Renewable Energy, 2022

2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia), 2021

The global paradigm shift from conventional energy resources to the renewable resources has prope... more The global paradigm shift from conventional energy resources to the renewable resources has propelled the adoption of Photovoltaic (PV) as an alternative energy source. With the increased focus on PV systems, the reliability and stability of grid-connected solar inverters is a major area of interest. The occurrence of fault in any part of the inverter may severely affect the operation of the whole system leading to adverse effects at the grid end. To improve the system reliability, it is imperative to have a Fault diagnostic mechanism that is capable of identifying and classifying such failure conditions. This paper proposes an intelligent data driven Deep Learning based fault detection and classification technique for grid connected single phase PV Inverters. The fault diagnostic scheme is implemented in MATLAB. The training accuracy obtained is 99% and testing accuracy is 98.3%. Hence, the proposed technique is effective and satisfies the requirements of a fault diagnostic classifier.

2018 3rd International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity (CIPECH), 2018

The Wireless Sensor Networks (WSNs) are the backbone of today`s modern Internet of Things (IoT) a... more The Wireless Sensor Networks (WSNs) are the backbone of today`s modern Internet of Things (IoT) applications like Smart Homes, Smart Buildings and Smart Cities. But, WSNs suffer from a major design limitation of limited battery energy availability. Therefore, we propose a solar-powered DC-DC buck converter for energy harvesting WSN nodes. This buck converter is powered by renewable energy and provides a very good solution to limited battery energy availability of WSN nodes. The Buck converter is a step down DC-DC converter in which harmonics and power losses are very low as compared to the boost converter. In switching regulators, the output voltage ripples depend upon inductor values, capacitor value, MOSFET switching frequency and duty cycle. This paper focuses on the design and analysis of DC-DC converters for low-power Photovoltaic (PV) energy harvesting applications such as WSN nodes. The simulation work is done using MATLAB software. From the simulation results, it is proved that the output voltage ripples are inversely proportional to the value of the inductor, capacitor and duty cycle.

2021 IEEE Bombay Section Signature Conference (IBSSC), 2021

With increasing global warming and pollution, the world is toward using renewable energy sources ... more With increasing global warming and pollution, the world is toward using renewable energy sources instead of fossil fuels. The potential for using renewable energy in Iraq is fine because of the abundant resource of renewable energy. Data of the solar irradiation and hydro energy show in Iraq that suitable to develop solar-hydro based hybrid power generation. This paper mainly focuses on the dam location in western Iraq in the city of Haditha. Haditha Hydroelectric Dam station consists of six variable-blade turbines that produce 660 MW but at present, the hydroelectric station produces less than "160 MW" because of the low water level, so the objective of this project is to design a solar plant with a capacity of 100MW near the hydroelectric plant in order to meet the increasing load demands

2019 International Conference on Power Electronics, Control and Automation (ICPECA), 2019

Disturbances in grid connected photovoltaic systems (GCPVS) can cause voltage collapse, trigger s... more Disturbances in grid connected photovoltaic systems (GCPVS) can cause voltage collapse, trigger shutdown of the power electronic converters and cause voltage fluctuations in the grid. These faults may result in harmonics, asymmetry, flicker and stability problems. Hence, continuous monitoring of GCPVS to classify the fault or operating condition of the system is necessary. In this paper, a fault classification method for GCPVS is developed using a modified method of knowledge transfer incorporating cross-validation methods. The adapted method learns the system characteristics using privileged information in the training set. The proposed classification method is simulated by considering eight different GCPV faults and subjecting them to cepstrum feature extraction. The results depicted 98.5% classification accuracy and 1.5% error rate, which is better when compared with the conventional classification process.

2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia), 2021

The increasing distributed generation (DG) systems and their integration with the utilities has c... more The increasing distributed generation (DG) systems and their integration with the utilities has complexed the operation of the power system network by subjecting them various abnormalities. Numerous studies are aimed to explore the ability of an inverter in a DG system to operate in standalone (SA) mode during the abnormal operation of the utility or when it is scheduled for maintenance. In this paper, a grid condition monitoring based transition approach is proposed by developing a hybrid control strategy to control the photovoltaic (PV) inverter operating in the grid-connected (GC) mode. In the case of Intentional or unintentional islanding conditions, the PV is disconnected, and voltage loop-based control is implemented for controlling the PV inverter in the SA mode of operation. The switching between the control strategies of GC and SA is performed by the central controller ensuring a smooth transition and continuous power delivery to the load. For validating the claims, a 4 kWp PV system is designed on MATLAB Simulink. The system is operated in both SA and GC mode of operation and the result depicts smooth transition without any transient peaks or harmonics.

2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), 2019

Now a days, distributed generations (DGs) are widely adapted for effectively lowering environment... more Now a days, distributed generations (DGs) are widely adapted for effectively lowering environmental impacts, improve the safety of power supply and decrease the pressure on power supply during peak hours. However, islanding operation is the most important concern when using the DGs. In order to effectively detect islanding after DG disconnects from main source an efficient islanding detection technique is required. To develop such algorithm, the author observed the various issues associated with single phase grid connected PV systems during islanding condition and their detection methods. The main objective is to develop a trained data set, which is capable of detecting all the possible scenarios of islanding. An accurate representation of the single-phase grid connected PV system is simulated in MATLAB/Simulink environment to determine the islanding. Wavelet transform and Machine learning techniques were adapted to develop the trained data set. The results depicted a 100% accuracy in both training and testing conditions with 18.9 seconds training time and 20 milli seconds detection time.

2019 International Conference on Power Electronics, Control and Automation (ICPECA), 2019

The motivation and background behind the fault detection for grid connected solar power plant is ... more The motivation and background behind the fault detection for grid connected solar power plant is presented in this paper. The major issues encountered when integrating a PV system to the grid include multi-peak phenomenon due to partial shading, regulation of circulating currents, the impact of grid impedances on PV system stability, Fault Ride-Through (FRT) Capability, and anti-islanding detection. Hence, fault detection and condition monitoring system are necessary for smooth operation. In this paper, a fault classification technique for single-phase grid connected PV systems is developed. Wavelet Transform and Neural network approaches are used for developing the fault classification algorithm. The results depicted that the developed fault detection algorithm shows a significant improvement in the classification accuracy with 98.4%.

2019 International Conference on Power Electronics, Control and Automation (ICPECA), 2019

This paper signifies the development of an efficient and cost-effective control scheme for operat... more This paper signifies the development of an efficient and cost-effective control scheme for operation of grid integrated photovoltaic (PV) system under low voltage ride through (LVRT) condition. During LVRT If the PV system was to disconnect from the grid, the disconnection further aggravates the situation by causing larger disturbance than what was caused by the fault. To stabilize the system and prevent the flow of over current during LVRT it is necessary to control the reactive power injection in the system. The proposed scheme balances the active power though proportional gain regulation of plug in controller. Compared to the conventional LVRT method, this method is more cost effective. A normal maximum power point tracking (MPPT) scheme is implemented during normal operation. But in case of fault condition, an extra proportional controller is added to assist the droop characteristics of photovoltaic power voltage curve and attain system stability. Simulation has been performed on a grid integrated PV system of 4kW and LVRT conditions are tested. It is observed that the response of controller is fast and seamless during transition mode.

The use of solar PV based energy conversion system is becoming very common. This energy conversio... more The use of solar PV based energy conversion system is becoming very common. This energy conversion system still faces the challenge of low efficiency. It becomes essential to extract maximum power from solar PV (Photovoltaic) under all ambient conditions. Perturb & Observe (P&O) is one of the Maximum Power Point Tracking (MPPT) technique is used to achieve this task. The main objective of this work is to design and develop P&O mppt for solar PV system and check its performance under change load condition. The simulation work is done using PSIM simulation software. A prototype hardware is made in the lab. A buck DC – DC converter is used to implement P&O MPPT technique. The convergence time and tracking factor is evaluated and compared with simulation result.

2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2018

Today the DC Microgrid has achieved popularity due to its easy interconnection with renewable ene... more Today the DC Microgrid has achieved popularity due to its easy interconnection with renewable energy resources and high reliability. This paper presents the voltage regulation of DC microgrid using a solar photovoltaic module, Li-ion Battery and AC grid as an input source. The outputs of these three inputs are interconnected with help of buffer circuit and are fed to dc bus. The voltage across DC bus is maintained to a certain desired value, which is being further regulated to four different lower voltages with help of buck converters. Buffer circuits are used to monitor the instantaneous power imbalance between source and load of the entire circuit. The boost converter is connected along the PV module and Li-ion battery respectively to regulate the output voltage of these sources to the desired value which is being fed to dc bus. The Maximum Power Point Tracking is also connected to the PV module which is essential to drive the system to the maximum power point to obtain the much efficiency. The system is modelled and simulated in the PSIM working environment. The dc bus voltage is also regulated to four different voltages levels so that the different dc household loads can be connected through it.

2017 International Conference on Power and Embedded Drive Control (ICPEDC), 2017

In this paper, a single phase effective closed loop control for solar inverter is proposed. As so... more In this paper, a single phase effective closed loop control for solar inverter is proposed. As solar irradiance level changes with atmospheric conditions, output of the inverter varies. To maintain the output voltage of the inverter constant a close loop is implemented using PWM technique. A PWM signal is generated by comparing the output of PI controller with two identical triangular signals having a phase difference of 180°. The output voltage is constant within ±0.5% of reference value. The circuit is validated using PSIM software. The simulated AC output waveform has THD within 2%.

2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2018

There has been a lot of progress going on in field of solar inverters. transformerless inverters ... more There has been a lot of progress going on in field of solar inverters. transformerless inverters has ben the most research area in recent time. For the operation of inverter in stand alone condition it is necessary to make sure that the control of the inverter is taken in account for maintaining the different operation parameters and making the system more safe and stable. This paper presents a comparative analysis of Highly Efficient and Reliable Inverter Concept (HERIC) inverter which is being controlled by hybrid controller. Stability testing of the HERIC inverter is performed based on load varying condition using Fuzzy-Proportional Integral Derivative (PID) and ANFIS-PID controller. Numerous different requirement is taken into consideration and analysis is carried out on basic of settling time and harmonic distortion present. At the end the experimental result conclude that system is running accurately with low settling time and harmonics distortion of less then 3.7%.

This paper deals with the simulation model of synchronous rotating reference frame and trigonomet... more This paper deals with the simulation model of synchronous rotating reference frame and trigonometric phase lock loop (PLL). For grid-connected inverters, a synchronization control technique is required for maintaining high power quality and efficiency of the system. There are many phase lock loop algorithms used for synchronization like enhanced PLL, power PLL, quadrature-based PLL. This paper presents two phase lock loops for utility grid-connected inverters. The circuits are simulated using PSIM simulation package, the generated phase angle of the PLL as its output is converted into a sine wave by adding a sine block, and results have been analyzed and discussed by the suitable input and output waveforms.

Artificial Intelligence Systems and the Internet of Things in the Digital Era, 2021

With the rapid increase in the development of electric vehicles (EVs), a priority-based power del... more With the rapid increase in the development of electric vehicles (EVs), a priority-based power delivery system for EV charging (EVC) has become a significant necessity. This helps in prioritizing the loads with distributed generation systems connected with the grid and prevents negative impacts such as overloading on the power grid. In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based methodology for priority determination of electric vehicles’ charging is developed considering the battery’s state of charge (SOC), time of stay, distance to be travelled and battery capacity. The proposed approach aims at enhancing the power delivering capability of the utility and overcome the drawback of unbalanced loading while performing EVC. To assess the performance of the proposed approach, the control and simulation of a grid connected EVC is done using 3 level converters. The results depict a smooth ripple free DC voltage which charges the vehicle with the highest priority.

Energy saving has now become the major performance parameter for all the areas of engineering. Ar... more Energy saving has now become the major performance parameter for all the areas of engineering. Artificial lighting is one of the area where volume of energy consumption is very high. Various types of lamps are developed to get the energy efficient light output. Compact Fluorescent Lamp (CFL) is one of the lamp used in artificial lighting system. An electronic control system is required drive CFL. The objective of this paper is to give the working of electronic control system of CFL.

2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2018

Condition monitoring of any system is essential to maintain its healthy operation as it results i... more Condition monitoring of any system is essential to maintain its healthy operation as it results in getting maximum revenue with minimum maintenance and operation costs. The main objective of this paper is to develop a fault detection algorithm capable of classifying different faults that can be occur in a Photovoltaic (PV) systems. Output characteristics of the PV system are used as valuable information to observe various types of faults and their locations. Wavelet transforms and neural network systems were adapted to filter the non-significant anomalies and make it easier to detect faults that are to be taken care of in a timely manner. The neural network (NN) classification adapts Multilayer perceptron (MLP) to identify the type and location of occurring faults. Wavelet transform (WT) based signal processing technique is utilized in the feature extraction process to provide inputs to the NN. The developed detection algorithm is adapted for 24/7 automated surveillance. The develop...