International Journal of Power Electronics and Drive Systems (IJPEDS)
International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. Included are techniques for advanced power semiconductor devices, control in power electronics, low and high power converters (inverters, converters, controlled and uncontrolled rectifiers), Control algorithms and techniques applied to power electronics, electromagnetic and thermal performance of electronic power converters and inverters, power quality and utility applications, renewable energy, electric machines, modelling, simulation, analysis, design and implementations of the application of power circuit components (power semiconductors, inductors, high frequency transformers, capacitors), EMI/EMC considerations, power devices and components, sensors, integration and packaging, induction motor drives, synchronous motor drives, permanent magnet motor drives, switched reluctance motor and synchronous reluctance motor drives, ASDs (adjustable speed drives), multi-phase machines and converters, applications in motor drives, electric vehicles, wind energy systems, solar, battery chargers, UPS and hybrid systems and other applications.
Articles
2,594 Documents
<![CDATA[Review on multi-input DC-DC converters topologies for electric vehicle charging application ]]>
<![CDATA[Rajalakshmi, M.]]>;
<![CDATA[Sultana, W. Razia]]>;
<![CDATA[Vanishree, J.]]>;
<![CDATA[Chitra, A.]]>;
<![CDATA[Prabha, D. Rama]]>;
<![CDATA[Manimozhi, M.]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp321-334
<![CDATA[The evolving fast-charging technology ends the hindrances of electric vehicle (EV) usage by integrating renewable energy sources and hybrid energy storage systems to increase the range and reliability of the vehicle. Nowadays, the development of the smart grid hosts bi-directional operation for improving the power quality by sending power from EV to the grid. For that, the multi-input (MI) converters are the breakthrough with the bidirectional conduction operation, which supports the power flow from vehicle to grid, vehicle, and building operation (V2X). Another important criterion for EV chargers is the high-power density with less losses by zero voltage and current switching and less circulating current, which can be achieved with resonant converters. All existing reviews missed out on focusing on resonant converters for bi-directional MI converters. This paper reviews the bi-directional converter topologies with multiple inputs suitable for V2X operation based on high and low voltage, frequency, control, and switching components.]]>
<![CDATA[Proposed high gain single DC-source SC-MLI topology for solar PV grid integration applications ]]>
<![CDATA[Mohammad, Khan]]>;
<![CDATA[Arif, M. Saad]]>;
<![CDATA[Md. Ayob, Shahrin]]>;
<![CDATA[Alrajhi, Hasan]]>;
<![CDATA[Alam, Mohd Sarfaraz]]>;
<![CDATA[Ahmad, Mohd Faraz]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp344-354
<![CDATA[Multilevel inverters (MLIs) are a key solution for converting DC to AC power. In this article, an improved single-source SC-MLI topology is developed for solar PV applications. It consists of 12 unidirectional switches, 3 capacitors, and 3 diodes to provide sextuple voltage boosting with a lower cost function. Since the capacitor's voltage is self-balanced, there is no need for an additional circuit or sensors, bringing down the circuit's complexity. A simple and fundamental frequency-based control strategy, nearest-level pulse width modulation, is applied to assess the viability of the proposed topology. As a result, the proposed topology has an efficiency of over 97%, and it can generate 13 levels with a total harmonic distortion (THD) of 6.51%. Comparative analysis is performed to show the feasibility of the proposed topology which outperformed other 13-level similar topologies in terms of component count, cost factor, and boosting factor. The proposed topology's performance is evaluated under static and dynamic loads. Furthermore, the thermal analysis is performed using PLECS software to determine the efficiency of the circuit topology. Finally, the feasibility of the proposed circuit is verified for solar PV application.]]>
<![CDATA[Evaluation of pulse width modulation techniques to reduce total harmonic distortion in grid-connected PV systems ]]>
<![CDATA[Adel, Bouledroua]]>;
<![CDATA[Tarek, Mesbah]]>;
<![CDATA[Samia, Kelaiaia]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp564-574
<![CDATA[The proliferation of grid-connected photovoltaic systems (GCPVs) has created significant challenges in maintaining power quality standards, particularly with respect to total harmonic distortion (THD). This research is concerned with evaluating three well-known pulse width modulation (PWM) techniques - sine PWM (SPWM), third harmonic injection PWM (THIPWM) and space vector PWM (SVPWM) for their effectiveness in mitigating THD in three-phase single stage GCPVs. Through extensive simulations performed in MATLAB/Simulink, a comprehensive comparative analysis is presented that reveals the strengths and limitations of each PWM strategy. The results show that SVPWM is the most effective technique for THD mitigation and outperforms its counterparts. THIPWM proves to be a promising second-best option, while SPWM lags behind in terms of harmonic suppression capabilities. This research not only quantifies the THD reduction achieved by each PWM technique but also delves into the underlying mechanisms and theoretical underpinnings that contribute to their distinct performances. The results are further supported by detailed harmonic spectrum analyses, providing valuable insights into the harmonic profiles associated with each modulation strategy.]]>
<![CDATA[Advancing solar energy harvesting: Artificial intelligence approaches to maximum power point tracking ]]>
<![CDATA[Boudouane, Meriem]]>;
<![CDATA[Elmahni, Lahoussine]]>;
<![CDATA[Zriouile, Rachid]]>;
<![CDATA[El Ouahab, Soufyane Ait]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp55-69
<![CDATA[This paper presents a comparative study of five maximum power point tracking (MPPT) control techniques in photovoltaic (PV) systems. The algorithms evaluated include classical methods, such as perturb and observe (P&O) and incremental conductance (IC), as well as intelligent approaches such as fuzzy logic (FL), artificial neural networks (ANNs), and adaptive neuro-fuzzy inference system (ANFIS). Intelligent methods provide faster response times and fewer oscillations around the maximum power point (MPP). The structure of the PV system includes a PV generator, load, and DC/DC boost converter driven by an MPPT controller. The performance of these techniques is analyzed under identical climatic conditions (same irradiation and temperature) in terms of efficiency, response time, response curve, accuracy in tracking the MPP, and others considered in this work. Simulations were performed using MATLAB-Simulink software, demonstrating that ANNs and ANFIS outperform traditional methods in dynamic environments, with FL being computationally intensive. P&O exhibited significant oscillations, while IC a showed slower tracking speed.]]>
<![CDATA[Comparing multi-control algorithms for complex nonlinear system: An embedded programmable logic control applications ]]>
<![CDATA[Egoigwe, Sochima Vincent]]>;
<![CDATA[Chijindu, Asogwa Tochukwu]]>;
<![CDATA[Nwobodo, Lois Onyejere]]>;
<![CDATA[Martha, Onuigbo Chika]]>;
<![CDATA[Ozioko, Frank Ekene]]>;
<![CDATA[Odozo, Ozor Godwin]]>;
<![CDATA[Chidi, Ebere Uzoka]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp212-224
<![CDATA[This paper examines the impact of multiple control algorithms, such as genetic algorithm (GA), artificial neural network (ANN), and proportional integral derivative (PID), on programmable logic controller (PLC) performance during a nonlinear thermodynamic process. The ANN was trained with data that modeled the thermodynamic process and then generated the control algorithm. GA was improved by applying the counter-premature algorithm (CPA) to address issues of pre-mature convergence, while the PID presents the current algorithm used to optimize the PLC in the existing testbed. Experimental evaluation of these models against the process set-points showed that all the algorithms were able to reject disturbance and follow the reference set points under different step changes, but each algorithm experienced different internal behaviors while trying to reject disturbance. Lastly, the result showed that while the improved GA was better than the PID, with a recorded slight overshoot due to the uncertainties of the thermodynamic process, the ANN achieved better control performance in terms of system stability than the other counterpart algorithms.]]>
<![CDATA[Efficient SOC estimation for electric vehicles: Extended Kalman filter approach for lithium-ion battery systems ]]>
<![CDATA[Mossaddek, Meriem]]>;
<![CDATA[Laadissi, El Mehdi]]>;
<![CDATA[Bouzaid, Sohaib]]>;
<![CDATA[Hajjaji, Abdelowahed]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp440-447
<![CDATA[This study investigates the estimation of the state of charge (SOC) in lithium-ion batteries by utilizing the extended Kalman filter (EKF) algorithm. A simulation model was developed in MATLAB, integrating the Thevenin model with the EKF algorithm to assess SOC levels. The results from the simulations confirm the accuracy and reliability of the proposed approach in estimating SOC. Moreover, a Simulink-based model of the Thevenin equivalent circuit and the EKF algorithm was implemented to further verify the effectiveness of the EKF in SOC estimation. This research underscores the potential of the EKF algorithm to deliver precise SOC estimates, which is crucial for optimizing battery management systems, particularly in electric vehicles.]]>
<![CDATA[Enhancing efficiency and stability in CPT systems: a state feedback controller approach ]]>
<![CDATA[Al-Hattami, Ahmed]]>;
<![CDATA[Saat, Shakir]]>;
<![CDATA[Yusop, Yusmarnita]]>;
<![CDATA[Awal, Md Rabiul]]>;
<![CDATA[Shapri, A. H. M.]]>;
<![CDATA[Husin, Huzaimah]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp225-234
<![CDATA[This work aims to present an innovative design and simulation of an auto-tuning capacitive power transfer (CPT) system. The system utilizes a Class-E converter, renowned for its exceptional efficiency. Challenges arise when trying to regulate the output voltage of a Class-E converter in the presence of load fluctuations, leading to an escalation in switching losses. By employing first harmonic approximation (FHA) and generalized state space averaging (GSSA), a state-space model of the system is constructed to effectively address this problem. The output voltage is regulated by a state feedback controller developed using the Lyapunov approach. This paper presents a comparative analysis of a traditional PID controller and a recently suggested state feedback controller, with a primary emphasis on system stabilization. The study examines the similarities and differences between the two controllers. The efficacy of the proposed controller design is demonstrated through the utilization of simulation data. Furthermore, these results confirm the validity of the comparative study, making it a substantial contribution to the field of CPT systems.]]>
<![CDATA[Design and implementation of 4-quadrant chopper for speed control of EVs and regenerative braking analysis ]]>
<![CDATA[Abdelfatah, Magdy Saoudi]]>;
<![CDATA[Solanki, Parmal Singh]]>;
<![CDATA[Sreedharan, Sasidharan]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp407-417
<![CDATA[This paper presents a novel 4-quadrant chopper design for controlling the speed of electric vehicles, featuring a regenerative braking mechanism to improve energy efficiency. Regenerative braking recovers energy during deceleration by converting kinetic energy into electrical energy stored in the battery. This process activates automatically when the accelerator pedal is released, slowing the vehicle while reducing reliance on mechanical brakes, which remain available for emergency situations. The system’s voltage control is achieved using a pulse-width modulation (PWM) technique that adjusts the duty cycle of switching devices. A microcontroller serves as the system’s core, generating PWM signals and coordinating its operation. The performance of the chopper was evaluated through simulations and experiments, demonstrating that optimal energy recovery occurs at duty cycles of 55-65%. The results revealed that up to 400 joules of energy can be regenerated per braking cycle, particularly in stop-start driving conditions. This innovative design contributes to a 5-10% extension in battery life per charge cycle, enhancing the overall efficiency and sustainability of electric vehicles. The proposed system demonstrates significant potential for energy recovery and reduced wear on mechanical braking systems, paving the way for more efficient electric vehicle technologies.]]>
<![CDATA[A new hybrid MPPT algorithm combining P&O and fuzzy logic techniques ]]>
<![CDATA[Mrhar, Oumaima]]>;
<![CDATA[Kandoussi, Khalid]]>;
<![CDATA[Eljouad, Mohamed]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp497-508
<![CDATA[This study introduces an innovative approach to maximum power point tracking (MPPT) in photovoltaic systems using a hybrid algorithm that combines perturb and observe (P&O) with fuzzy logic. The novelty of this work lies in the choice of input variables for the fuzzy controller, specifically dV and dP, which addresses significant challenges such as slow response to environmental condition variations and limited responsiveness under low solar irradiation. This method of MPPT is modified to make it particularly suitable for extracting peak power from photovoltaic systems. To evaluate the effectiveness of this approach, a simulation was conducted using MATLAB/Simulink software on a system comprising a photovoltaic panel connected to the new controller. Simulation results indicate that the suggested hybrid algorithm surpasses traditional methods like perturb and observe (P&O) and fuzzy logic (FL) in several ways. It notably excels in response time and tracking efficiency, achieving a remarkable success rate of 99.7% in pinpointing the maximum power point. These outcomes could significantly boost the performance of photovoltaic systems and, consequently, further the adoption of renewable energy while lessening environmental impacts.]]>
<![CDATA[Estimator-based single phase second order variable structure controller for the pitch control of a variable speed wind turbine ]]>
<![CDATA[Nguyen, Cong-Trang]]>;
<![CDATA[Phan, Tai Thanh]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp235-242
<![CDATA[A novel single phase second order variable structure controller (SPSOVSC) based on estimated variables and output information only is presented for the variable speed wind turbine (VSWT) system. In contrast with a recent method, the output feedback and second order sliding mode control techniques are deliberated for the SPSOVSC design in the VSWT. The selection of an integral single-phase sliding surface is established such that the reaching phase required in the basic variable structure control (BVSC) scheme is removed since the plant’s state trajectories always begin from the sliding surface. In addition, appropriate stability constraints by Lyapunov based novel linear matrix inequality (LMI) technique are acquired to guarantee the entire VSWT plant’s steadiness. Using the proposed techniques, the SPSOVSC is developed to modify BVSC to advance the performance of VSWT plant in terms of overshoot and settling time. The results show the new scheme is highly robust in sliding variable's fast convergence to zero asymptotically. It is obvious that the robustness of the proposed controller in terms of steadiness and usefulness of the scheme.]]>
