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.
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<![CDATA[Real-time implementation of a combined controller-observer approach for shunt active filters ]]>
<![CDATA[Kiran, Nagulapati]]>;
<![CDATA[Naidu, I. E. S.]]>
<![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.pp251-266
<![CDATA[The crucial role of shunt active power filter (SAPF) is to compensate for reactive power, balances unbalanced currents and counteract harmonics produced due to non-linear loads, by injecting phase-opposed compensation current by designing an appropriate controller. In this work, a combined controller-observer state and disturbances estimation scheme for a SAPF is proposed. To avoid the requirement of full-state feedback, unknown input observers (UIO) is designed. This is conducted in OPAL-RT OP4510 environment. Real-time simulations are used to show how successful the suggested controller-observer architecture for SAPF is; wherein the estimated states from the observer are fed back to the controller, and finally, the disturbance is also estimated. UIO is designed for SAPF to deal with nominal conditions and in the presence of sinusoidal disturbance.The OPAL-RT results clearly show that LO introduces steady state error between the reference input and the estimated state of SAPF in the presence of disturbances. This steady state error is completely eliminated in presence of all disturbances using UIO. The results also show that UIO perfectly tracks the reference input in the presence of disturbances. Further, disturbances are also estimated perfectly with UIO.]]>
<![CDATA[Bidirectional AC/AC converter linking two microgrids in a flexible microgrid ]]>
<![CDATA[Vinh, Nguyen The]]>;
<![CDATA[Dung, Nguyen Van]]>
<![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.pp389-406
<![CDATA[The proposed single-phase flexible AC/AC converter in an AC microgrid controlled by the PWM method is presented and tested with a small capacity. This converter uses a simple and small number of semiconductor switches and passive elements to limit power loss and increase efficiency. It has higher reliability, safety, and continuity of power supply in operation than traditional AC/AC converters due to the power circuit structure of the converter. It has the function of increasing or decreasing voltage when connecting to two microgrids and can be directly connected to distributed energy sources in microgrid systems with distributed power sources and loads. Besides, the AC/AC converter can be connected to the storage system to improve continuity and voltage stability for the grid. The performance of the proposed converter is compared with existing similar converters. The paper presents the analysis of simulation results by OrCAD with power values from 0.1-5 kW and experimental power with typical values in the range of 0.5-3.5 kW at different scenarios of the converter.]]>
<![CDATA[Teaching learning optimization technique FOPID controlled Cuk and SEPIC converter-based PF rectification ]]>
<![CDATA[Mishra, Alok Kumar]]>;
<![CDATA[Das, Soumya Ranjan]]>;
<![CDATA[Giri, Nimay Chandra]]>;
<![CDATA[Routray, Sangram Kishore]]>;
<![CDATA[Syam, Fathy Abdelaziz]]>;
<![CDATA[Elwakil, Ehab S.]]>
<![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.pp311-320
<![CDATA[The foremost cause of harmonic contamination is the ample utilization of loads of non-linear type such as static power converters. Because of this load, the input power factor (PF) decreases heavily as they draw a current of non-sinusoidal in nature. This article gives a general presentation investigation of two PF rectification (PFR) converter (PFRC) geographies: Cuk type and single-ended primary-inductance converter or SEPIC type converter. The average current control (ACC) technique is utilized here. Notwithstanding, for control of output voltage, techniques like conventional proportional integral derivative controller (PIDC) or fractional order proportional integral derivative controller (FOPIDC) are used, and the gains of the controller are calculated using a novel teaching learning optimization technique (TLOT), considering integral time absolute error (ITAE). The analysis of both PFRC acted in Simulink/MATLAB and the estimated converters are studied under consistent and dynamic state conditions. The FOPIDC Cuk PFRC is providing 2.97% of THD compared to other converters.]]>
<![CDATA[Global solar energy estimation using improved greedy based genetic algorithm with deep convolutional neural network ]]>
<![CDATA[Devaraj, Tintu Beena]]>;
<![CDATA[Kottoor, Charu Navaneeth Raveendran]]>
<![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.pp633-641
<![CDATA[Demand for solar energy increases and it is required to manage the supply of energy effectively. Accurate detection on patterns of energy consumed assist in taking appropriate decisions on generating energy. Even though many traditional techniques have predicted the consumption rate, still improvement is needed in prediction accuracy. The pre-processing is performed initially for handling missing values. The feature selection is accomplished using improved greedy based genetic algorithm (GGA) to extract best features to enhance the performance of the model. Output from feature-selection is passed as input to the classification phase using proposed deep convolutional neural network (CNN) in which future solar energy patterns are classified and predicted timely basis power consumption and it optimize the model by minimize the error. The prediction accuracy is estimated through evaluation metrics such as mean square error (MSE), mean absolute percentage error (MAPE) and root mean square error (RMSE) 0.423, 0.652, and 0.215, respectively. The outcomes achieved in terms of accuracy at 99.75, precision at 99.28, sensitivity, and recall at 100 revealed the efficiency of the proposed classification model. As a result, the proposed future prediction of solar energy was considered efficient since it achieved reduced error values than other prediction algorithms. It assists in maintaining stability in solar-energy based systems.]]>
<![CDATA[Experimental validation of two voltage regulation strategies for boost converters in wind systems ]]>
<![CDATA[Imodane, Belkasem]]>;
<![CDATA[Benydir, Mohamed]]>;
<![CDATA[Bouachrine, Brahim]]>;
<![CDATA[Ajaamoum, Mohamed]]>;
<![CDATA[Dahmane, Kaoutar]]>
<![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.pp509-518
<![CDATA[This study provides an experimental validation of two advanced control methods, sliding mode control (SMC) and fuzzy logic control (FLC) for regulating the DC bus voltage in a permanent magnet synchronous generator (PMSG) wind turbine system using a boost converter. Initially, MATLAB/Simulink simulations are used to assess the system's behavior in an ideal environment, where various operating conditions and disturbances are modeled to test the robustness of the control algorithms. Subsequently, real experiments are conducted using a physical prototype of a boost converter and a LAUNCHXL-F28069M DSP board to evaluate the system's behavior under real-world scenarios. The evaluation focuses on system stability, tracking accuracy, and response time under various wind turbine operating conditions. The experimental results reveal that SMC outperforms FLC in terms of rapidity, precision, and hardware implementation. Additionally, SMC offers significant advantages in achieving superior performance metrics, such as improved dynamic response and enhanced overall system stability, making it a more effective choice for practical wind energy applications. This experimental validation simplifies the selection of optimal control strategies for wind energy systems.]]>
<![CDATA[Battery management system using Jaya maximum power point tracking technique ]]>
<![CDATA[Azmi, Muhammad Hasbi]]>;
<![CDATA[Abdul Rashid, Ayman Nurshazwan]]>;
<![CDATA[Mohammad Noor, Siti Zaliha]]>;
<![CDATA[Othman, Muhammad Murtadha]]>;
<![CDATA[Musa, Suleiman]]>;
<![CDATA[Abd Aziz, Pusparini Dewi]]>
<![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.pp622-632
<![CDATA[This paper introduces the development of a battery management system (BMS) utilizing the Jaya-based maximum power point tracking (MPPT) technique. Previous studies have combined various MPPT techniques with switching methods, each having its pros and cons. Traditional MPPT methods are common but have limited performance. Therefore, artificial intelligence (AI)-based approaches are introduced to enhance and reduce the limitations faced. The Jaya technique is straightforward and easy to implement, making it an attractive choice for MPPT in photovoltaic systems. It is recognized for its effectiveness in eliminating the worst solutions and identifying the best solution with only a few control parameters required for operation. The proposed work aims to develop a BMS using a DC-DC buck converter and the Jaya MPPT technique. The objective is to find the MPP to achieve the desired performance level and ensure the effectiveness of maintaining battery quality, preventing overcharging or undercharging. The system is modeled in MATLAB/Simulink. The findings indicate that the Jaya MPPT demonstrates a tracking speed of less than 1 second to locate the maximum power point (MPP). Furthermore, the BMS is capable of monitoring changes in state of charge (SoC) to determine whether the system is in charging or discharging mode.]]>
<![CDATA[Harmonic reduction techniques in renewable energy distribution systems using cascaded multilevel inverters: a comparative analysis ]]>
<![CDATA[Gangadhara, Nayana]]>;
<![CDATA[Torvi, Savita D.]]>
<![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.pp76-85
<![CDATA[Penetration of renewable energy in distribution generation increases power quality in the output. The harmonics inherent in the inverters are a major contributor to the power quality issues in the distribution system. Multilevel inverters are used to get rid of the harmonics inherent in the inverter output. Among the multilevel inverter topology cascaded multilevel inverters have taken center stage due to their simple topology and control with lesser components. This paper reviews different multilevel inverter topologies that have led to cascaded multilevel inverter topology and applies pulse width modulation (PWM) techniques to the topology. Phase disposition PWM technique is applied on the cascaded H-bridge multilevel inverter (MLI) topology for 5-level, 7-level, and 9-level inverter topologies. The total harmonic distortion (THD) obtained for these topologies is compared with and without the use of an LC filter in the inverter output. PWM techniques including phase disposition, for five-level, seven-level, and nine-level MLI methods are applied on the cascaded multilevel inverter and results are compared for harmonic reduction in the inverter output.]]>
<![CDATA[Single-stage transformer less multilevel boost inverter with zero leakage current for PV system ]]>
<![CDATA[Al-Mamoori, Dalya Hamzah]]>;
<![CDATA[Ayob, Shahrin Md]]>;
<![CDATA[Arif, M. Saad Bin]]>
<![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.pp673-682
<![CDATA[Transformer less inverters (TIs) are highly efficient and have a high power density, making them a popular choice for grid-connected solar PV applications. However, certain topologies can lead to high-frequency common-mode voltage (CMV), which can cause issues such as high leakage current, electromagnetic interference, and an absence of safety. Our newly developed inverter is designed to be more efficient, cost-effective, and compact than traditional types while also addressing the issue of leakage current. This architecture eliminates leakage current by directly connecting the grid's neutral terminal to the PV's negative polarity, resulting in a low leakage current. Moreover, the inverter increases output voltage using only one voltage source and a few power devices, making it a cost-effective solution. Its modular form allows for an increase in output levels, further enhancing its cost-effectiveness. We conducted a comprehensive mathematical examination, and the MATLAB/Simulink results demonstrate its ability to increase the output voltage, eliminate leakage current, and maintain acceptable output voltage THD and current waveforms. These results and the inverter's safety features showcase significant improvements over traditional inverters and provide a secure and reliable solution for grid-connected solar PV applications.]]>
<![CDATA[A novel technique for optimization of BLDC-based dual-motor electric vehicles using adaptive BFO-based PID controller ]]>
<![CDATA[Kumar, Rajnish]]>;
<![CDATA[Kumar, Amitesh]]>
<![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.pp10-24
<![CDATA[This study addresses the imperative for electric vehicle (EV) propulsion systems to operate at higher speeds with effective motor control, given the rapid advancement of EV technology. Specifically focusing on electric 2-wheelers, we aim to enhance their maximum speed range from 45 km/hr to 110 km/hr by optimizing the control strategy of a widely used commercial e-bike from Vespa. Our approach explores the feasibility of employing a dual motor system instead of a single motor, coupled with optimization techniques for a proportional-integral-derivative (PID) controller governing a linear brushless DC (BLDC) motor. Implemented in MATLAB/Simulink, our method offers advantages such as consistent convergence, ease of implementation, and high computational efficiency. By employing bacterial foraging optimization (BFO) along with an adaptive BFO (ABFO) technique to optimize the PID controller, we achieve significantly faster response times compared to conventional BFO methods. These findings underscore the efficacy of our approach in enhancing the speed control and acceleration characteristics of EV propulsion systems, contributing to the ongoing evolution of electric mobility solutions.]]>
<![CDATA[Battery management system employing passive control method ]]>
<![CDATA[Fahmi, Muhamad Aqil Muqri Muhamad]]>;
<![CDATA[Yusoff, Siti Hajar]]>;
<![CDATA[Gunawan, Teddy Surya]]>;
<![CDATA[Zabidi, Suriza Ahmad]]>;
<![CDATA[Abu Hanifah, Mohd Shahrin]]>
<![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.pp35-44
<![CDATA[A battery management system (BMS) is essential for maintaining peak efficiency and longevity of rechargeable batteries. Conventional battery management system techniques often struggle to monitor, protect, and particularly have difficulties in balancing batteries. The project proposed has introduced a battery management system that employs passive control techniques to address excess energy and overcome these challenges. In the proposed design, a shunt resistor dissipates surplus energy from lithium-ion battery cells into heat following the proposed BMS design. This passive control technique is economically efficient, uncomplicated, and does not require an external power source. A prototype of the proposed BMS design was tested and was able to accurately monitor the battery, dissipate excess energy, and protect the battery while maintaining the cell charge balance. These findings suggest that the proposed BMS has the potential to improve both the effectiveness and longevity of rechargeable batteries.]]>
