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[An experimental design of 3 kW variable speed wind turbine with doubly-fed induction generator for standalone applications ]]>
<![CDATA[Kadiman, Sugiarto]]>;
<![CDATA[Kartikasari, Ratna]]>;
<![CDATA[Yuliani, Oni]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1160-1173
<![CDATA[Variable speed wind turbines are suitable for isolated populations, island communities or usages in which the charge of electric lines beats the connection and upkeep charge of wind turbine. This research builds wind turbine which working over variable velocity of wind. The proposed construct incorporates three-bladed aerofoil rotor, gear box with ratio 1:8, three-phase doubly-fed induction generator, automatic voltage regulator and tower. Results verify efficacy of this installed structure at wind speed of 7.0-8.2 m/s. The proposed design generates power output at 3 kW, voltage per phase between 220 V, and frequency of 50 Hz; and exhibits noise just around 60-70 dB which is below the permissible noise threshold of 85 dB.]]>
<![CDATA[Power quality improvement in grid connected hybrid renewable energy system using UPQC ]]>
<![CDATA[Singh, Manpreet]]>;
<![CDATA[Singh, Lakhwinder]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1298-1305
<![CDATA[The detection and mitigation of power quality issues have become essential due to the increased interest in integrating renewable energy sources to the power system. There are various methods to mitigate the power quality issues that arise due to the integration of composite renewable sources into the current power system. Distribution flexible alternating current transmission system (D-FACTS) devices are widely used for this purpose. Unified power quality conditioner (UPQC), due to its superior performance over other conditioners, has been used in the proposed system. The primary objective of this paper is to implement the UPQC to enhance power quality in grid-integrated photovoltaic-wind system by reducing total harmonic distortion (THD). MATLAB Simulink is utilized to verify the results of the proposed system. Total harmonic distortion analysis for a grid-connected photovoltaic-wind system without and with UPQC is compared. The efficacy of UPQC in reducing THD in a grid-integrated photovoltaic-wind system is presented. THD decreases from 24.06% to 11.19% when UPQC is linked to the proposed system. To validate the implementation of the proposed system, the results are compared with already published work.]]>
<![CDATA[Sizing optimization of a standalone PV/wind hybrid energy system with battery storage using a genetic algorithm ]]>
<![CDATA[Kouihi, Manal]]>;
<![CDATA[Moutchou, Mohamed]]>;
<![CDATA[ElMahjoub, Abdelhafid Ait]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1208-1218
<![CDATA[Renewable energy sources, such as wind and solar, are clean and widely available, they have significant advantages over conventional power. However, the climate has an inherent influence on their production. Due to growing energy costs and decreasing solar and wind turbine prices, the use of PV/wind hybrid energy systems has grown in popularity. Determining the ideal number of PV panels and wind turbines required is essential to minimize costs and ensure the continuous production of energy to fulfill the intended demand before building a renewable energy generating facility. The goal of this research is to identify the optimal design for a hybrid PV/wind system that includes battery storage for standalone uses. The suggested analysis uses the low power supply probability (LPSP) as a guiding metric and a genetic algorithm (GA) to optimize costs while reliably satisfying load requirements. With this technology, the ideal quantity of PV modules and wind turbines may be precisely determined at the lowest possible cost. The outcomes show that the hybrid systems have undergone effective optimization.]]>
<![CDATA[Enhancing voltage stability in active distribution networks through solar PV integration ]]>
<![CDATA[Dhandapani, Lakshmi]]>;
<![CDATA[Sreenivasan, Pushpa]]>;
<![CDATA[Murugan, Sangeetha]]>;
<![CDATA[Maria, Helaria]]>;
<![CDATA[Banerjee, Sudipta]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1137-1146
<![CDATA[Solar PV's explosive expansion is changing distribution networks and posing new problems, such as bidirectional power flow, unstable voltage, and power quality problems, particularly in networks with low X/R ratios. Abrupt changes in voltage are difficult for conventional voltage control techniques like shunt capacitors and on-load tap changers (OLTCs) to handle. IEEE Standard 1,547 has little efficacy in such networks, despite the fact that PV inverters may provide reactive power. This paper suggests a real-time coordinated control approach to improve voltage regulation by combining PV inverters, OLTC, and battery energy storage systems (BESS). Reactive power from PV inverters is prioritized to lower operational expenses and reliance on BESS. Better voltage stability, a decrease in BESS energy processing from 9400.3 kWh to 1701.87 kWh, and a reduction in OLTC activities are the outcomes. Rural networks gain from the strategy's ability to support smaller, more affordable BESS units’ voltage sensitivity analysis, and ideal BESS sizing may be investigated in future studies.]]>
<![CDATA[Comprehensive performance assessment of a 12-MW grid-connected photovoltaic power plant ]]>
<![CDATA[Bouroumeid, Yassine]]>;
<![CDATA[Jbilou, Mokhtaria]]>;
<![CDATA[Bechekir, Seyf Eddine]]>;
<![CDATA[Nemmich, Said]]>;
<![CDATA[Ghaitaoui, Essama Ahmed]]>;
<![CDATA[Brahami, Mostefa]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1196-1207
<![CDATA[The increasing demand for electricity, driven by sustained population growth, has placed considerable pressure on Algeria’s power generation infrastructure to expand its output. In parallel, the sharp decline in the cost of solar photovoltaic (PV) electricity and the rising tariffs on conventional energy sources have intensified interest in PV-based electricity generation. Accordingly, precise evaluation of the annual and monthly performance of solar PV plants has become essential for the optimal design and deployment of new facilities. This study presents a comprehensive performance assessment of a 12 MW grid-connected photovoltaic power plant located in Sidi Bel Abbès, Algeria. Real-time operational data were collected over a one-year period, from January 1st to December 31st, 2023. Key performance indicators analyzed include energy output, final yield (Yf), and performance ratio (PR), among others. The plant delivered a total of 20,780.67 MWh to the grid in 2023. The final yield ranged from 3.25 to 5.88 kWh/kWp, while the performance ratio varied between 79% and 89.71%. The annual capacity factor was calculated to be 19.44%. These empirical results are compared against simulation outputs obtained using PVsyst and the Solar GIS-PV Planner tools.]]>
<![CDATA[Performance analysis of an islanded variable speed wind energy system during multi-mode operation ]]>
<![CDATA[Santhosam, P. Preethi]]>;
<![CDATA[Sowmmiya, U]]>;
<![CDATA[Sutikno, Tole]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1230-1247
<![CDATA[Unbalances and non-linearities in islanded wind energy systems (WES) cause electromagnetic torque fluctuations, leading to mechanical stress and power oscillations. This study analyses the dynamic performance of a doubly fed induction generator (DFIG)-based variable speed WES connected to a standalone DC microgrid (DCM) during multimode operations. The proposed system addresses power balance during rare scenarios such as machine stall, closed rotor, and closed stator conditions. Notably, only one stator parameter regulates voltage and frequency, simplifying control and reducing cost. Unlike existing literature, this work quantifies and demonstrates the oscillations in torque, active, and reactive power. Dynamic performance is validated using a software-in-loop (SIL) approach with the Opal RT OP4510 real-time simulator. Results confirm that the system maintains voltage stability and supports uninterrupted power delivery across all operational modes. Additionally, power quality indices such as THD comply with IEEE 519 standards, reporting system reliability and flexibility in standalone wind energy applications.]]>
<![CDATA[Axial flux machine performance enhancement using recurrent neural network controller ]]>
<![CDATA[Anumala, Kalpana]]>;
<![CDATA[Veligatla, Ramesh Babu]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp740-750
<![CDATA[Traditional control methods often face limitations in optimizing the performance of these motors, especially in complex industrial and automotive applications where precision, stability, and energy efficiency are paramount. By exploring advanced control strategies such as multi-level inverters and neural network controllers, this study aims to overcome these limitations and unlock the full potential of dual rotor axial flux induction motors. The integration of multi-level inverters enables finer control of motor operation and enhances power quality, while neural network controllers offer adaptive and intelligent control capabilities, enabling the system to learn and optimize performance in real-time. The study investigates novel approaches to enhance the performance and efficiency of electric motor control systems. The study aims to address the challenges associated with traditional control methods and optimize the operation of dual rotor axial flux induction motors. The research evaluates various performance metrics associated with the speed control system, including error histograms, training performance, regression accuracy, rotor speed dynamics, rotor torque characteristics, time series analysis, and training state assessment. The study achieves significant milestones in optimizing system performance, as evidenced by key findings such as a low mean squared error (MSE) of 0.00011396 achieved during training, strong correlation in regression analysis with an R-value of 0.99718, and effective training dynamics indicated by a gradient value of 0.0091742 and a learning rate (Mu) of 0.0001. These results underscore the effectiveness and reliability of the proposed control strategies in improving motor performance, efficiency, and reliability while reducing energy consumption and operational costs. The proposed method is implemented using MATLAB.]]>
<![CDATA[DTC of PMSM based on a simple duty ratio approach with ripple reduction scheme ]]>
<![CDATA[Lemma, Berhanu Deggefa]]>;
<![CDATA[Pradabane, Srinivasan]]>;
<![CDATA[Sutikno, Tole]]>;
<![CDATA[Reta, Getu Girma]]>;
<![CDATA[Feyisa, Negasa Muleta]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp808-816
<![CDATA[Today, phase permanent magnet synchronous motor (PMSM) applies to electric drives. But due to its structure and control scheme, PMSM suffers from ripple performance when a control scheme like direct torque control (DTC) is used. This work uses a simple scheme to generate switching signals and determine duty ratios. The duty ratio is obtained from the Volt-second balance. Switching signal generation is performed in the DTC scheme by incorporating the effects of duty ratio, torque error, flux error, and sector number. Dwelling time is obtained in volt-seconds using the reference voltage magnitude and sector number. But voltage state selection is done using the DTC lookup table. Since the DTC lookup table is used for voltage state selection only one active and one null voltage is used. Both active and null voltage periods are divided into two parts and each voltage vector is applied twice in one total switching period. The proposed scheme is tested in MATLAB 2021b. Simulation results indicate that the method is effective in terms of dynamics and harmonics. The scheme torque ripple is 12.5%. Likewise, the flux ripple and harmonic are 0.69% and 0.79%, respectively. Additionally, the scheme is effective for both four quadrants and wide-speed operation. Verification of the proposed scheme is done with OPAL-RT (OP4500). The scheme appears to be effective.]]>
<![CDATA[Optimal annual solar PV penetration for improved voltage regulation and power loss reduction under uncertainty conditions ]]>
<![CDATA[Ba-swaimi, Saleh]]>;
<![CDATA[Verayiah, Renuga]]>;
<![CDATA[Ramachandaramurthy, Vigna K.]]>;
<![CDATA[Binajjaj, Saeed Ali]]>;
<![CDATA[Padmanaban, Sanjeevikumar]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1147-1159
<![CDATA[Given their technological, economic, and environmental advantages, the widespread adoption of renewable distributed generators (RDGs) in distribution systems (DSs) is becoming more prevalent. However, Solar photovoltaic distributed generators (PV-DGs) face the challenge of intermittent behavior, which results in power output fluctuations and increased grid uncertainty. Therefore, addressing these uncertainties is crucial when determining their optimal allocation. The proposed method considers uncertainties related to both load demand and solar irradiation. The model is formulated as a stochastic mixed-integer nonlinear optimization problem, which is solved using the whale optimization algorithm (WOA). The standard IEEE 33-bus system is used to validate the proposed approach, and demand variations are modeled based on the IEEE reliability test system (IEEE-RTS). The objective is to simultaneously minimize total expected voltage deviation, real power loss, and reactive power loss while increasing solar PV penetration. The technique for order of preference by similarity to the ideal solution (TOPSIS) is applied to select the best solution. Simulated results indicate significant improvements: a 19.39% reduction in voltage deviation, an 18.42% decrease in total real power loss, and an 18.53% reduction in reactive power loss compared to the base case. Additionally, the model accommodates a total of 3.206625 MW of solar PV power in the DS.]]>
<![CDATA[Development of operation strategy for PV- fuel cell hybrid power system to maximize efficiency and minimize stress ]]>
<![CDATA[Indriawati, Katherin]]>;
<![CDATA[Nawangsih, Nawangsih]]>;
<![CDATA[Ekatiara, Cindy Reviko]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1219-1229
<![CDATA[This study explores the development of an energy management strategy (EMS) using a modified external energy management strategy (EEMS) for a hybrid PV-fuel cell power system. The primary aim was to address efficiency challenges and reduce the premature aging of fuel cells, batteries, and supercapacitors (SCs) caused by excessive stress. Incorporating photovoltaic (PV) energy as an additional renewable energy source (RES) has proven to improve the efficiency of the hybrid system. The EEMS-based strategy reduces hydrogen consumption by prioritizing the energy supply from the battery and SC. However, the traditional EEMS approach introduces chattering phenomena that can negatively impact system lifespan. By modifying the EEMS optimization problem, the modified EEMS effectively mitigates chattering, maintaining the battery's state of charge (SOC) and the DC bus voltage within specified ranges, while also reducing stress on the battery and SC. The results demonstrate a significant enhancement in both system performance and efficiency.]]>
