Hamdan Daniyal | Universiti Malaysia Pahang (UMP) (original) (raw)
Papers by Hamdan Daniyal
The increase of the harmonics disturbance in the ac mains currents has become a major concern due... more The increase of the harmonics disturbance in the ac mains currents has become a major concern due to the wide spread of power electronics equipment in modern electrical systems. This paper presents the analysis and simulation of a three-phase active power filter (APF) compensating the harmonics and reactive power created by nonlinear in steady state and in transients using Matlab Simulink. An optimal control strategy for shunt active filter which is proposed in this paper, based on voltage source inverter using Modified Synchronous reference frame theory (SRF) and sinusoidal pulse width modulation (SPWM) Control. The target of this strategy is to improve the behavior of source current when it is crossing from zero. It is seen that the APF has effectively mitigate the Total Harmonic Distortion (THD). The FFT analysis of the active filter system brings the THD of the source current less than 5% into compliance with IEEE-519 harmonic standards.
2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC), 2017
Brushless Direct Current (BLDC) motors has gained popularity in recent years due to their perform... more Brushless Direct Current (BLDC) motors has gained popularity in recent years due to their performance, efficiency and power density. Many type of speed controller has been developed and Proportional Integral Derivative (PID) controller has been the most prominent due to simplicity. However, lack of evidence presented in literature regarding the bidirectional speed control of such motor. In this paper, a PID bidirectional BLDC motor speed controller using Direct Commutation Switching Scheme is proposed. The controller is developed and tested using MATLAB/Simulink. It is found that the controller performed efficiently for all the test cases.
This paper proposes a new optimization algorithm based on the law of gravity. In the proposed alg... more This paper proposes a new optimization algorithm based on the law of gravity. In the proposed algorithm, the black hole sucks up the star that crosses the event horizon, and a white hole emits the star from its event horizon. Both black and white holes attract stars. The white hole-black hole algorithm (WH-BH) starts with an initial population of candidate solutions to an optimization problem and an objective function that is calculated for them. The white hole is selected to be the worst candidate (star), and the black hole will be the best star at each iteration of the WH-BH algorithm. The CEC2014 test functions are applied to evaluate the performance of the WH-BH.
This paper studies the solution of optimization problems using a new hybrid population-based algo... more This paper studies the solution of optimization problems using a new hybrid population-based algorithm. The Gravitational Search – Black Hole Algorithm (GSBHA) is proposed as a combination of the Black Hole Algorithm (BHA) and Gravitational Search Algorithm (GSA). The main idea is to improve the standard BHA by using GSA. To evaluate the performance of GSBHA, standard test functions of CEC 2014 for real-parameters are used to compare the hybrid algorithm with both the standard BHA and GSA algorithms in evolving the best solution. The results obtained demonstrate better performance of the hybrid algorithm and better capability to escape from local optimums with faster convergence than the standard BHA and GSA.
International Journal of Advanced Computer Science and Applications, 2021
System Dynamics (SD) modelling is a highly complex process. Although the SD methodology has been ... more System Dynamics (SD) modelling is a highly complex process. Although the SD methodology has been discussed extensively in most breakthroughs and present literature, discussions on data collection methods for SD modelling are not explained in details in most studies. To date, comprehensive descriptions of knowledge extraction for SD modelling is still scarce in the literature either. In an attempt to fill in the gap, three primary groups of data sources proposed by Forrester: (1) mental database, (2) written database and (3) numerical database, were reviewed, including the potential data collections methods for each database by taking into account the advancement of current computer and information technology. The contributions of this paper come in threefolds. First, this paper highlights the potential data sources that deserved to be acknowledged and reflected in the SD domain. Second, this paper provides insights into the appropriate mix and match of data collection methods for SD...
2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2018
The power system is a complex network which is expected to operate with consumption of minimal re... more The power system is a complex network which is expected to operate with consumption of minimal resources giving the maximum security and reliability. The optimal power flow (OPF) problem is an important tool to help the operator to achieve these goals by providing the optimal setting of all control variables. Due to its significant influence on security and economic operation of power systems, one of the OPF problems namely optimal reactive power dispatch (ORPD), has received an ever-increasing interest from electric utilities. This paper proposes a recent nature inspired algorithm called moth-flame optimizer (MFO) to solve the ORPD problem. MFO is utilized to find the best combination of control variables such as the real power generation to be generated, generator voltages, tap changing transformers' ratios and the size of reactive power compensation devices so that the total minimum loss in the network can be obtained. The effectiveness of MFO is tested on IEEE-30 bus system ...
Di dalam industri automotif, terdapat banyak sistem-sistem Rekabentuk Berbantukan Komputer (CAD) ... more Di dalam industri automotif, terdapat banyak sistem-sistem Rekabentuk Berbantukan Komputer (CAD) dan Pembuatan Berbantukan Komputer (CAM) yang digunakan. Setiap sistem mempunyai penafsiran data yang tersendiri. Hasilnya, data produk yang dihasilkan dan disimpan berada dalam pelbagai format yang tidak serasi dengan berbagai-bagai perisian CAD/CAM yang lain. mi menyebabkan masalah operasi antara sistem berlaku apabila fail-fail dipindahkan dari satu sistem ke sistem yang lain. Walaupun dengan kemajuan yang telah dicapai dalam era pemindahan data antara sistem CAD/CAM ini, masalah mi masih merupakan isu yang besar. Projek mi mengkaji tentang senario masalah perpindahan data CAD/CAM khususnya dalam industri automotif di Malaysia. Dengan merujuk kepada kajian-kajian lain di Amerika Syarikat, Jerman dan Australia, satu kerangka kerja yang membantu industri automotif Malaysia menangani masalah tersebut secara proaktif dicadangkan.
Background: Optimal Chiller Loading (OCL) problem is one of the issues that need to be solved in ... more Background: Optimal Chiller Loading (OCL) problem is one of the issues that need to be solved in order to reduce the energy consumption, especially for commercial and industrial facilities which are normally using a multi-chiller system. Multi-chiller system consists of varying performances and capacities which are depend on the manufacturers' specifications. Since the chiller system consumed enormous of electricity energy, consequently, the energy performance of the chiller should be studied precisely. In fact, over 25% of the energy in commercial buildings is used for heating, ventilation and cooling (HVAC). From this energy, more than half goes to building cooling. In the past, it has been generally assumed that by picking a chiller with good performance at design conditions, it also works in a good performance at offdesign conditions. Unfortunately, that is not always true. In fact, most of chillers work at off-design conditions: either at part load, or with colder entering condenser water temperature, or both. In this paper, Partial Load Ratio (PLR) of the chiller is used as the variables to be optimized, since the optimized PLR consequently reducing the energy consumption by the chillers. Objective: To solve OCL problem, a new Swarm Intelligence (SI) approach namely Differential Search (DS) algorithm is utilized by choosing the consumption of power in kiloWatts (kW) as the objective function to be minimized, where two well-known case study systems are considered. Results: Results obtained by DS algorithm are compared with other recent optimization techniques that available in literature. The results of this study show that DS is able to achieve less power consumption than those determined by other methods. Conclusion: We have proposed a new Swarm Intelligence (SI) approach, Differential Search (DS) algorithm in solving optimal chiller loading problems. When compared with the best results of other methods, our method seems to be more effective as that total power consumption of the chillers are the minimum relative to others'.
2018 20th European Conference on Power Electronics and Applications (EPE'18 ECCE Europe), 2018
This paper presents the study on the application of Binary Search Algorithm (BSA) to determine th... more This paper presents the study on the application of Binary Search Algorithm (BSA) to determine the maximum power point under partially shaded photovoltaic system. In partially shaded conditions, maximum power point tracking (MPPT) is a challenging task and prone to local maxima problem. The BSA-based algorithm, together with well-established PSO and another commonly used hill climbing method, perturb and observe (P&O) were developed and simulated in MAT LAB Simulink. All three algorithms were examined under 15 different partial shaded test conditions. In order to further analyze the real time performance of the algorithms, hardware-in-the-loop (HIL) was utilized to emulate the behavior of the power converter while digital signal processor (DSP) was used to realize the MPPT algorithms. From the study, the BSA has shown a faster average convergence speed compared to PSO. It is also shown from the study that the BSA was capable to perform MPP tracking under partially shaded conditions,...
Brushless Direct Current (BLDC) motors have gained popularity in recent years due to their high-p... more Brushless Direct Current (BLDC) motors have gained popularity in recent years due to their high-power density. Many type of speed controller techniques have been developed and Proportional Integral Derivative (PID) controller has been the most widely used. However, PID’s performance deteriorates during nonlinear loads conditions. Over the past five years, controllers have been developed to overcome this limitations in BLDC speed control, however the solutions are focusing on forward motoring only. In this paper, a speed controller for BLDC with seamless speed reversal using Modified Fuzzy Gain Scheduling is proposed. The proposed controller regulates the speed using Fuzzy Gain Scheduling 49 base rules. The controller was tested for six test cases and compared to PID and Self-Tuning Fuzzy PID controller. It is found out the proposed controller yields lowest steady state error, e ss of 0.025 % during step-changing speed test case. Overall, Modified Fuzzy Gain Scheduling BLDC speed con...
Journal of Telecommunication, Electronic and Computer Engineering, 2018
This paper presents the application of two nature-inspired meta-heuristic algorithms, namely moth... more This paper presents the application of two nature-inspired meta-heuristic algorithms, namely moth-flame optimizer (MFO) and ant lion optimizer (ALO) in obtaining the optimal settings of control variables for solving optimal reactive power dispatch (ORPD) problems. MFO is developed by the inspiration of the natural navigation method of moths during night time while ALO is inspired by the natural foraging technique of antlions in hunting ants. These two algorithms are implemented in ORPD to determine the optimal value of generator buses voltage, transformers tap setting and reactive compensators sizing in order to minimize power loss in the transmission system. In this paper, IEEE 57-bus system is utilized to show the effectiveness of MFO and ALO. Their statistical results are compared against other metaheuristic algorithms. The results of this paper illustrate that MFO is able to achieve a lower power loss than ALO and other selected algorithms from literature.
This paper presents the application of recent nature inspired computing (NIC) techniques in solvi... more This paper presents the application of recent nature inspired computing (NIC) techniques in solving the Optimal Reactive Power Dispatch (ORPD) problem. As been known, ORPD is a well-known nonlinear optimization problem in power system operation and planning. In order to obtain the best combination of control variables such as generator voltages, tap changing transformers’ ratios and the amount of reactive compensation devices, optimization approach need to be done so that the loss minimization as objective function can be achieved. In this paper, four NIC techniques namely Cuckoo Search Algorithm (CSA), Grey Wolf Optimizer (GWO), Gravitational Search Algorithm (GSA) and Firefly Algorithm (FA) have been applied into ORPD problem. The quality of each technique in obtaining the combination of control variables is tested on IEEE 57- bus system.
4th IET Clean Energy and Technology Conference (CEAT 2016)
This paper proposes an application of a recent nature inspired optimization technique namely Moth... more This paper proposes an application of a recent nature inspired optimization technique namely Moth-Flame Optimization (MFO) algorithm in solving the Optimal Reactive Power Dispatch (ORPD) problem. In this paper, loss minimization is used as objective function of ORPD problem where the best combination of control variables such as voltage magnitude at generator buses, transformer-tap setting and injected MVAR will be obtained by MFO. To show the effectiveness of proposed algorithm, the IEEE 30 bus system is utilized and compared with other nature inspired algorithms. The results show that MFO perform better in obtaining less total system loss compared to those other selected algorithms.
This paper presents the application of controller hardware-in-the-loop (C-HIL) for real-time stud... more This paper presents the application of controller hardware-in-the-loop (C-HIL) for real-time study of maximum power point tracking (MPPT) algorithm in solar photovoltaic (PV) system. The testing platform in this study which consist of three series connected PV modules together with a DC/DC boost converter were modelled and implemented using Tyhoon HIL-402. For the MPPT controller, a conventional perturb and observe (P&O) and a well-established particle swarm optimization (PSO) based MPPT algorithm are developed and implemented in a digital signal processor. The performance of both algorithms were examined under real-time working condition with 10 different partial shaded test cases. From the study, the P&O shows a faster convergence speed which it can track for maximum power point rapidly up to 0.5070 s compared to the fastest tracking of PSO at 1.3598 s. However, PSO shows a greater capability in tracking for true maximum power point under partial shaded conditions with average out...
To date, with the advancement in energy-related technology, the regulations prior to the environm... more To date, with the advancement in energy-related technology, the regulations prior to the environment and energy emission are also strictly increasing due to the impact of global warming. Hence, many electric vehicles are affected since one of their principles is closely related to the issue of short-range storage capacity and long charging time which are not in favor to most of the automotive customers. Thus, it embarks many kinds of research to establish development of an efficient energy management storage (EMS) to fulfill the objectives at the same time keeping the vehicle performance at its convincing standard. This work presents the Hyperheuristics Trajectory Based Optimization for Energy Management Storage (EMS) of The Split Plug-in Hybrid Electric Vehicle. The Split Plug-in Hybrid Electric Vehicle is discussed in different and recent perspective by zooming into other aspects of EMS point of view. A comprehensive discussion is elaborated by comparing various strength and weakn...
This paper presents the study of the effect of transformer’s turn ratio mismatch on the performan... more This paper presents the study of the effect of transformer’s turn ratio mismatch on the performance of dual active bridge (DAB) converter. DAB converter was part of the components of a solid state transformer (SST) where it provides galvanic isolation as well as interface systems with different voltage level. In this study, a DAB circuit was developed and the performance was examined in both MATLAB Simulation and hardware-in-the-loop (HIL) simulation. The DAB system was examined under five different transformer ratio. The behavior of the DAB shows a comparable results under both test platform. The real-time performance of DAB converter has shown an efficiency up to 95.91%.
This paper introduces an implementation of pulse-width modulation (PWM) known as simple boost PWM... more This paper introduces an implementation of pulse-width modulation (PWM) known as simple boost PWM (SBPWM) for Z-source inverter (ZSI) under open-loop system for five-phase application. A detail assessment of the inverter by comparing the simulation with the theoretical output voltage, determining total harmonic distortion (THD) of the output under EN61000-3-2 standard and investigating the effect of modulation index over voltage gain, output voltage (line-line) and total power dissipation. A model of five-phase ZSI was built in MATLAB/Simulink with resistive load. The findings from the analysis show that the results obtained from the theoretical and simulation is similar, the THD comply with EN61000-3-2 standard which obtain below 2%, and reducing the modulation index will increase the voltage gain, output voltage (line-line) and total power dissipation.
Matrix Converter (MC) fundamentals and operation is described throughout this paper. This covers ... more Matrix Converter (MC) fundamentals and operation is described throughout this paper. This covers topological characteristics, MC types and basics of operation, implementation of discrete semiconductors as bidirectional switches, commercially available bidirectional switches modules packaging, bidirectional switches commutation schemes based on current and voltage direction as well as modulations strategies of MC based on related publications.
In line with high demand of renewable energy as well as the energy storage, the multiport DC–DC c... more In line with high demand of renewable energy as well as the energy storage, the multiport DC–DC converters topology have recently received a lot of attention due to its own advantages. In this paper, a bidirectional quad active bridge (QAB) DC–DC converter with high frequency transformer is presented. Full bridge power converter is employed and the phase shift modulation is used in investigating the power transfer of QAB converter. In applying this proposed modulation, the changing or amount of delivering and receiving power in the QAB converter are influenced by the phase shift. Multiple cases of QAB configuration have been evaluated by (1) Multi-input single-output (balanced voltage source); (2) Multi-input single output (unbalanced voltage source); (3) Multi-input multi-output (balanced voltage source); and (4) Single-input multi-output (unbalanced load). The simulation results of a 2.5 kW system is analyzed through MATLAB/Simulink. Also, the power efficiency is discussed through...
Lecture Notes in Computer Science
This paper addresses optimization for hybrid electric vehicle (HEV) by using a single agent metho... more This paper addresses optimization for hybrid electric vehicle (HEV) by using a single agent method to optimize the power losses and fuel consumption under a specific driving cycle base on Safe Experimentation Dynamics (SED) method. For optimization process, four gain are added in four main parts of the HEV system. Those main parts are engine, motor, generator and battery. These four gain are controlled the output for each components to give the minimum power losses. The design method is applied to free model of HEV by using Simulink/MATLAB software while M-File/MATLAB is used to apply the Safe Experimentation Dynamics (SED) method. The result from design method achieved minimum reduction of power losses and fuel consumption compared to original system. Thus, the comparison of the simulation results shown that the algorithm approach provides better performance
The increase of the harmonics disturbance in the ac mains currents has become a major concern due... more The increase of the harmonics disturbance in the ac mains currents has become a major concern due to the wide spread of power electronics equipment in modern electrical systems. This paper presents the analysis and simulation of a three-phase active power filter (APF) compensating the harmonics and reactive power created by nonlinear in steady state and in transients using Matlab Simulink. An optimal control strategy for shunt active filter which is proposed in this paper, based on voltage source inverter using Modified Synchronous reference frame theory (SRF) and sinusoidal pulse width modulation (SPWM) Control. The target of this strategy is to improve the behavior of source current when it is crossing from zero. It is seen that the APF has effectively mitigate the Total Harmonic Distortion (THD). The FFT analysis of the active filter system brings the THD of the source current less than 5% into compliance with IEEE-519 harmonic standards.
2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC), 2017
Brushless Direct Current (BLDC) motors has gained popularity in recent years due to their perform... more Brushless Direct Current (BLDC) motors has gained popularity in recent years due to their performance, efficiency and power density. Many type of speed controller has been developed and Proportional Integral Derivative (PID) controller has been the most prominent due to simplicity. However, lack of evidence presented in literature regarding the bidirectional speed control of such motor. In this paper, a PID bidirectional BLDC motor speed controller using Direct Commutation Switching Scheme is proposed. The controller is developed and tested using MATLAB/Simulink. It is found that the controller performed efficiently for all the test cases.
This paper proposes a new optimization algorithm based on the law of gravity. In the proposed alg... more This paper proposes a new optimization algorithm based on the law of gravity. In the proposed algorithm, the black hole sucks up the star that crosses the event horizon, and a white hole emits the star from its event horizon. Both black and white holes attract stars. The white hole-black hole algorithm (WH-BH) starts with an initial population of candidate solutions to an optimization problem and an objective function that is calculated for them. The white hole is selected to be the worst candidate (star), and the black hole will be the best star at each iteration of the WH-BH algorithm. The CEC2014 test functions are applied to evaluate the performance of the WH-BH.
This paper studies the solution of optimization problems using a new hybrid population-based algo... more This paper studies the solution of optimization problems using a new hybrid population-based algorithm. The Gravitational Search – Black Hole Algorithm (GSBHA) is proposed as a combination of the Black Hole Algorithm (BHA) and Gravitational Search Algorithm (GSA). The main idea is to improve the standard BHA by using GSA. To evaluate the performance of GSBHA, standard test functions of CEC 2014 for real-parameters are used to compare the hybrid algorithm with both the standard BHA and GSA algorithms in evolving the best solution. The results obtained demonstrate better performance of the hybrid algorithm and better capability to escape from local optimums with faster convergence than the standard BHA and GSA.
International Journal of Advanced Computer Science and Applications, 2021
System Dynamics (SD) modelling is a highly complex process. Although the SD methodology has been ... more System Dynamics (SD) modelling is a highly complex process. Although the SD methodology has been discussed extensively in most breakthroughs and present literature, discussions on data collection methods for SD modelling are not explained in details in most studies. To date, comprehensive descriptions of knowledge extraction for SD modelling is still scarce in the literature either. In an attempt to fill in the gap, three primary groups of data sources proposed by Forrester: (1) mental database, (2) written database and (3) numerical database, were reviewed, including the potential data collections methods for each database by taking into account the advancement of current computer and information technology. The contributions of this paper come in threefolds. First, this paper highlights the potential data sources that deserved to be acknowledged and reflected in the SD domain. Second, this paper provides insights into the appropriate mix and match of data collection methods for SD...
2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2018
The power system is a complex network which is expected to operate with consumption of minimal re... more The power system is a complex network which is expected to operate with consumption of minimal resources giving the maximum security and reliability. The optimal power flow (OPF) problem is an important tool to help the operator to achieve these goals by providing the optimal setting of all control variables. Due to its significant influence on security and economic operation of power systems, one of the OPF problems namely optimal reactive power dispatch (ORPD), has received an ever-increasing interest from electric utilities. This paper proposes a recent nature inspired algorithm called moth-flame optimizer (MFO) to solve the ORPD problem. MFO is utilized to find the best combination of control variables such as the real power generation to be generated, generator voltages, tap changing transformers' ratios and the size of reactive power compensation devices so that the total minimum loss in the network can be obtained. The effectiveness of MFO is tested on IEEE-30 bus system ...
Di dalam industri automotif, terdapat banyak sistem-sistem Rekabentuk Berbantukan Komputer (CAD) ... more Di dalam industri automotif, terdapat banyak sistem-sistem Rekabentuk Berbantukan Komputer (CAD) dan Pembuatan Berbantukan Komputer (CAM) yang digunakan. Setiap sistem mempunyai penafsiran data yang tersendiri. Hasilnya, data produk yang dihasilkan dan disimpan berada dalam pelbagai format yang tidak serasi dengan berbagai-bagai perisian CAD/CAM yang lain. mi menyebabkan masalah operasi antara sistem berlaku apabila fail-fail dipindahkan dari satu sistem ke sistem yang lain. Walaupun dengan kemajuan yang telah dicapai dalam era pemindahan data antara sistem CAD/CAM ini, masalah mi masih merupakan isu yang besar. Projek mi mengkaji tentang senario masalah perpindahan data CAD/CAM khususnya dalam industri automotif di Malaysia. Dengan merujuk kepada kajian-kajian lain di Amerika Syarikat, Jerman dan Australia, satu kerangka kerja yang membantu industri automotif Malaysia menangani masalah tersebut secara proaktif dicadangkan.
Background: Optimal Chiller Loading (OCL) problem is one of the issues that need to be solved in ... more Background: Optimal Chiller Loading (OCL) problem is one of the issues that need to be solved in order to reduce the energy consumption, especially for commercial and industrial facilities which are normally using a multi-chiller system. Multi-chiller system consists of varying performances and capacities which are depend on the manufacturers' specifications. Since the chiller system consumed enormous of electricity energy, consequently, the energy performance of the chiller should be studied precisely. In fact, over 25% of the energy in commercial buildings is used for heating, ventilation and cooling (HVAC). From this energy, more than half goes to building cooling. In the past, it has been generally assumed that by picking a chiller with good performance at design conditions, it also works in a good performance at offdesign conditions. Unfortunately, that is not always true. In fact, most of chillers work at off-design conditions: either at part load, or with colder entering condenser water temperature, or both. In this paper, Partial Load Ratio (PLR) of the chiller is used as the variables to be optimized, since the optimized PLR consequently reducing the energy consumption by the chillers. Objective: To solve OCL problem, a new Swarm Intelligence (SI) approach namely Differential Search (DS) algorithm is utilized by choosing the consumption of power in kiloWatts (kW) as the objective function to be minimized, where two well-known case study systems are considered. Results: Results obtained by DS algorithm are compared with other recent optimization techniques that available in literature. The results of this study show that DS is able to achieve less power consumption than those determined by other methods. Conclusion: We have proposed a new Swarm Intelligence (SI) approach, Differential Search (DS) algorithm in solving optimal chiller loading problems. When compared with the best results of other methods, our method seems to be more effective as that total power consumption of the chillers are the minimum relative to others'.
2018 20th European Conference on Power Electronics and Applications (EPE'18 ECCE Europe), 2018
This paper presents the study on the application of Binary Search Algorithm (BSA) to determine th... more This paper presents the study on the application of Binary Search Algorithm (BSA) to determine the maximum power point under partially shaded photovoltaic system. In partially shaded conditions, maximum power point tracking (MPPT) is a challenging task and prone to local maxima problem. The BSA-based algorithm, together with well-established PSO and another commonly used hill climbing method, perturb and observe (P&O) were developed and simulated in MAT LAB Simulink. All three algorithms were examined under 15 different partial shaded test conditions. In order to further analyze the real time performance of the algorithms, hardware-in-the-loop (HIL) was utilized to emulate the behavior of the power converter while digital signal processor (DSP) was used to realize the MPPT algorithms. From the study, the BSA has shown a faster average convergence speed compared to PSO. It is also shown from the study that the BSA was capable to perform MPP tracking under partially shaded conditions,...
Brushless Direct Current (BLDC) motors have gained popularity in recent years due to their high-p... more Brushless Direct Current (BLDC) motors have gained popularity in recent years due to their high-power density. Many type of speed controller techniques have been developed and Proportional Integral Derivative (PID) controller has been the most widely used. However, PID’s performance deteriorates during nonlinear loads conditions. Over the past five years, controllers have been developed to overcome this limitations in BLDC speed control, however the solutions are focusing on forward motoring only. In this paper, a speed controller for BLDC with seamless speed reversal using Modified Fuzzy Gain Scheduling is proposed. The proposed controller regulates the speed using Fuzzy Gain Scheduling 49 base rules. The controller was tested for six test cases and compared to PID and Self-Tuning Fuzzy PID controller. It is found out the proposed controller yields lowest steady state error, e ss of 0.025 % during step-changing speed test case. Overall, Modified Fuzzy Gain Scheduling BLDC speed con...
Journal of Telecommunication, Electronic and Computer Engineering, 2018
This paper presents the application of two nature-inspired meta-heuristic algorithms, namely moth... more This paper presents the application of two nature-inspired meta-heuristic algorithms, namely moth-flame optimizer (MFO) and ant lion optimizer (ALO) in obtaining the optimal settings of control variables for solving optimal reactive power dispatch (ORPD) problems. MFO is developed by the inspiration of the natural navigation method of moths during night time while ALO is inspired by the natural foraging technique of antlions in hunting ants. These two algorithms are implemented in ORPD to determine the optimal value of generator buses voltage, transformers tap setting and reactive compensators sizing in order to minimize power loss in the transmission system. In this paper, IEEE 57-bus system is utilized to show the effectiveness of MFO and ALO. Their statistical results are compared against other metaheuristic algorithms. The results of this paper illustrate that MFO is able to achieve a lower power loss than ALO and other selected algorithms from literature.
This paper presents the application of recent nature inspired computing (NIC) techniques in solvi... more This paper presents the application of recent nature inspired computing (NIC) techniques in solving the Optimal Reactive Power Dispatch (ORPD) problem. As been known, ORPD is a well-known nonlinear optimization problem in power system operation and planning. In order to obtain the best combination of control variables such as generator voltages, tap changing transformers’ ratios and the amount of reactive compensation devices, optimization approach need to be done so that the loss minimization as objective function can be achieved. In this paper, four NIC techniques namely Cuckoo Search Algorithm (CSA), Grey Wolf Optimizer (GWO), Gravitational Search Algorithm (GSA) and Firefly Algorithm (FA) have been applied into ORPD problem. The quality of each technique in obtaining the combination of control variables is tested on IEEE 57- bus system.
4th IET Clean Energy and Technology Conference (CEAT 2016)
This paper proposes an application of a recent nature inspired optimization technique namely Moth... more This paper proposes an application of a recent nature inspired optimization technique namely Moth-Flame Optimization (MFO) algorithm in solving the Optimal Reactive Power Dispatch (ORPD) problem. In this paper, loss minimization is used as objective function of ORPD problem where the best combination of control variables such as voltage magnitude at generator buses, transformer-tap setting and injected MVAR will be obtained by MFO. To show the effectiveness of proposed algorithm, the IEEE 30 bus system is utilized and compared with other nature inspired algorithms. The results show that MFO perform better in obtaining less total system loss compared to those other selected algorithms.
This paper presents the application of controller hardware-in-the-loop (C-HIL) for real-time stud... more This paper presents the application of controller hardware-in-the-loop (C-HIL) for real-time study of maximum power point tracking (MPPT) algorithm in solar photovoltaic (PV) system. The testing platform in this study which consist of three series connected PV modules together with a DC/DC boost converter were modelled and implemented using Tyhoon HIL-402. For the MPPT controller, a conventional perturb and observe (P&O) and a well-established particle swarm optimization (PSO) based MPPT algorithm are developed and implemented in a digital signal processor. The performance of both algorithms were examined under real-time working condition with 10 different partial shaded test cases. From the study, the P&O shows a faster convergence speed which it can track for maximum power point rapidly up to 0.5070 s compared to the fastest tracking of PSO at 1.3598 s. However, PSO shows a greater capability in tracking for true maximum power point under partial shaded conditions with average out...
To date, with the advancement in energy-related technology, the regulations prior to the environm... more To date, with the advancement in energy-related technology, the regulations prior to the environment and energy emission are also strictly increasing due to the impact of global warming. Hence, many electric vehicles are affected since one of their principles is closely related to the issue of short-range storage capacity and long charging time which are not in favor to most of the automotive customers. Thus, it embarks many kinds of research to establish development of an efficient energy management storage (EMS) to fulfill the objectives at the same time keeping the vehicle performance at its convincing standard. This work presents the Hyperheuristics Trajectory Based Optimization for Energy Management Storage (EMS) of The Split Plug-in Hybrid Electric Vehicle. The Split Plug-in Hybrid Electric Vehicle is discussed in different and recent perspective by zooming into other aspects of EMS point of view. A comprehensive discussion is elaborated by comparing various strength and weakn...
This paper presents the study of the effect of transformer’s turn ratio mismatch on the performan... more This paper presents the study of the effect of transformer’s turn ratio mismatch on the performance of dual active bridge (DAB) converter. DAB converter was part of the components of a solid state transformer (SST) where it provides galvanic isolation as well as interface systems with different voltage level. In this study, a DAB circuit was developed and the performance was examined in both MATLAB Simulation and hardware-in-the-loop (HIL) simulation. The DAB system was examined under five different transformer ratio. The behavior of the DAB shows a comparable results under both test platform. The real-time performance of DAB converter has shown an efficiency up to 95.91%.
This paper introduces an implementation of pulse-width modulation (PWM) known as simple boost PWM... more This paper introduces an implementation of pulse-width modulation (PWM) known as simple boost PWM (SBPWM) for Z-source inverter (ZSI) under open-loop system for five-phase application. A detail assessment of the inverter by comparing the simulation with the theoretical output voltage, determining total harmonic distortion (THD) of the output under EN61000-3-2 standard and investigating the effect of modulation index over voltage gain, output voltage (line-line) and total power dissipation. A model of five-phase ZSI was built in MATLAB/Simulink with resistive load. The findings from the analysis show that the results obtained from the theoretical and simulation is similar, the THD comply with EN61000-3-2 standard which obtain below 2%, and reducing the modulation index will increase the voltage gain, output voltage (line-line) and total power dissipation.
Matrix Converter (MC) fundamentals and operation is described throughout this paper. This covers ... more Matrix Converter (MC) fundamentals and operation is described throughout this paper. This covers topological characteristics, MC types and basics of operation, implementation of discrete semiconductors as bidirectional switches, commercially available bidirectional switches modules packaging, bidirectional switches commutation schemes based on current and voltage direction as well as modulations strategies of MC based on related publications.
In line with high demand of renewable energy as well as the energy storage, the multiport DC–DC c... more In line with high demand of renewable energy as well as the energy storage, the multiport DC–DC converters topology have recently received a lot of attention due to its own advantages. In this paper, a bidirectional quad active bridge (QAB) DC–DC converter with high frequency transformer is presented. Full bridge power converter is employed and the phase shift modulation is used in investigating the power transfer of QAB converter. In applying this proposed modulation, the changing or amount of delivering and receiving power in the QAB converter are influenced by the phase shift. Multiple cases of QAB configuration have been evaluated by (1) Multi-input single-output (balanced voltage source); (2) Multi-input single output (unbalanced voltage source); (3) Multi-input multi-output (balanced voltage source); and (4) Single-input multi-output (unbalanced load). The simulation results of a 2.5 kW system is analyzed through MATLAB/Simulink. Also, the power efficiency is discussed through...
Lecture Notes in Computer Science
This paper addresses optimization for hybrid electric vehicle (HEV) by using a single agent metho... more This paper addresses optimization for hybrid electric vehicle (HEV) by using a single agent method to optimize the power losses and fuel consumption under a specific driving cycle base on Safe Experimentation Dynamics (SED) method. For optimization process, four gain are added in four main parts of the HEV system. Those main parts are engine, motor, generator and battery. These four gain are controlled the output for each components to give the minimum power losses. The design method is applied to free model of HEV by using Simulink/MATLAB software while M-File/MATLAB is used to apply the Safe Experimentation Dynamics (SED) method. The result from design method achieved minimum reduction of power losses and fuel consumption compared to original system. Thus, the comparison of the simulation results shown that the algorithm approach provides better performance