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[Practical application of lithium-ion battery management systems: heating system ]]>
<![CDATA[Zraibi, Brahim]]>;
<![CDATA[Mansouri, Mohamed]]>;
<![CDATA[Ezzahi, Abdelghani]]>
<![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.pp1389-1398
<![CDATA[This paper presents a lithium-ion battery management system (BMS) aimed at improving battery longevity through hardware and software optimization. The system targets enhancing energy efficiency in heating devices like burners, commonly used in industrial and domestic applications. A key innovation is the modification of the Arduino Pro Mini 8 MHz 3.3 V microcontroller to reduce power consumption during sleep mode. The study evaluates two iterations of the system: an initial manually soldered prototype using the Arduino board and a second iteration with a robust printed circuit board assembly (PCBA). The transition to the PCBA improved system efficiency and eliminated connection issues. The development integrates conventional circuitry and modern software strategies for efficient battery charge/discharge management. Results from both prototypes demonstrate significant improvements in battery life, offering a sustainable solution for energy-efficient applications.]]>
<![CDATA[Optimizing distribution system performance: A comprehensive review of power loss minimization techniques ]]>
<![CDATA[Moufid, Ismail]]>;
<![CDATA[En-nay, Zineb]]>;
<![CDATA[Naciri, Soukaina]]>;
<![CDATA[El Markhi, Hassane]]>
<![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.pp710-718
<![CDATA[This article presents a thorough examination of contemporary techniques aimed at minimizing losses in distribution networks by strategically allocating capacitors, distributed generators (DG), and distribution static synchronous compensators (DSTATCOM). Through an extensive review of background literature and the analysis of current methodologies, the study distills insights from research articles spanning four decades. The survey encompasses diverse single and multi-objective methods, considering various constraints in addressing the distribution system loss minimization problem. Key findings emphasize the effectiveness of capacitor allocation in high voltage distribution networks, the efficiency of DG allocation in integrating small-scale generation, and the growing interest in DSTATCOM allocation for its advantages over traditional capacitor allocation. Particular attention is given to simultaneous techniques, identified as the most efficient approach for enhancing overall system performance.]]>
<![CDATA[Single-neuron adaptive double-power super-twisting sliding mode control for induction motor ]]>
<![CDATA[Mencou, Siham]]>;
<![CDATA[Yakhlef, Majid Ben]]>;
<![CDATA[Tazi, El Bachir]]>
<![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.pp840-850
<![CDATA[Direct torque control is a widely used control method for induction motors because it offers rapid dynamic response and relatively simple implementation. However, it presents high torque and flux ripples and variable switching frequencies. To overcome these constraints, the double-power super-twisting sliding mode (DPSTSM) control approach has been proposed, integrating the advantages of the super-twisting algorithm designed to reduce chattering with those of the double power convergence law aimed to improve system speed and dynamic quality. However, the optimal tuning of the sliding mode gains of the double-power super-twisting sliding mode controller represents a considerable challenge. To address this issue, we proposed an improvement to the DPSTSM algorithm through the integration of a single-neuron adaptive algorithm. The single-neuron adaptive double-power super-twisting sliding mode control approach aims to dynamically adjust the controller gains, while delivering superior performance in terms of chattering reduction, improved dynamic response, and enhanced robustness to load disturbances. A detailed investigation was carried out via MATLAB/Simulink simulations to determine the effectiveness of the proposed control strategy.]]>
<![CDATA[Unlocking the potential of multilevel inverters: a comprehensive review ]]>
<![CDATA[Khadar, Shaik Abdul]]>;
<![CDATA[Shuaib, Y. Mohamed]]>;
<![CDATA[Kubendran, Vadivel]]>;
<![CDATA[Bharanigha, Veerasamy]]>
<![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.pp982-997
<![CDATA[The energy usage of the electricity system increased dramatically during the last few years as a result of the rise in consumers and businesses. It resulted in large-scale traditional energy generation, causing an increase in global emissions. As a result, the perforation of sources that are renewable inside electrical networks has greatly grown. Solar power systems (PS) have grown into the most prominent sources because of their tremendous potential; hence, global installed solar power capability has expanded beyond more than 635 gigawatts (GW), representing about 2% of the world’s energy consumption. Multilevel inverters (MLI) are now on top of two-level inverters due to their ability to deliver diminished electromagnetic interference (EMI) and elevated capability. This study examines MLIs in terms of categorization, development, and problems, as well as practical advice for use in renewable energy systems (RES). This review also emphasizes the significance and development of an improved multilevel inverter. In summary, this study focuses on the usage of multilayer inverters in PV systems to stimulate and assist society in developing efficient, cost-effective inverters with integrated capacities of those converters described in the survey.]]>
<![CDATA[Optimizing energy management in electric vehicle charging using firefly algorithm ]]>
<![CDATA[Fauzi, Muhammad Ridha]]>;
<![CDATA[Zakri, Azriyenni Azhari]]>;
<![CDATA[Syafii, Syafii]]>
<![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.pp864-872
<![CDATA[The transition to electric vehicles (EVs) poses significant challenges in the management of electric vehicle charging stations (EVCS), especially regarding the integration of renewable energy to ensure efficiency and sustainability. This study aims to optimize the energy management system in EVCS that takes into account technological aspects. The algorithm being proposed is specifically created for a 100 kW EVCS and utilizes the firefly algorithm to maximize renewable energy utilization and minimize charging costs. The research methodology includes the development of an optimization framework that combines solar power generation with the Firefly-based optimization algorithm, which considers factors such as power demand, battery capacity, and tariff fluctuations. Simulations show that the algorithm is able to increase solar energy utilization by up to 80%, while reducing charging costs during peak hours. The results also emphasize the importance of real-time energy management to address power demand fluctuations and reduce adverse impacts on the electricity grid. This study concludes that the firefly algorithm is effective in supporting energy management in renewable energy-based EVCS, providing essential knowledge for the development of sustainable charging system within the future.]]>
<![CDATA[Artificial raindrop algorithm for control of frequency in a networked power system ]]>
<![CDATA[Dhandapani, Lakshmi]]>;
<![CDATA[Sreenivasan, Pushpa]]>;
<![CDATA[Batumalay, Malathy]]>
<![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.pp1116-1123
<![CDATA[Load frequency control (LFC) evaluates the net changes in generation by continuously monitoring tie-line flows and system frequency required relying on load changes. It adjusts generator set points to minimize the area control error's (ACE) time-averaged value. ACE is regarded as a controlled output of LFC. Previous research focused on customary power systems like hydro-hydro, thermal-thermal, and hydro-thermal configurations. This current development study introduces the hybrid PV and dual thermal system interconnected systems for LFC analysis. The research evaluates LFC performance with different controllers, considering parameters such as maximum peak overshoot (Mp), maximum undershoot (Mu), settling time (Ts), and peak time (Tp). Controllers, including proportional integral (PI), anti-windup PI, fuzzy gain scheduling PI, and A cutting-edge algorithm generating fake raindrops are used for minimize ACE. The analysis introduces various load perturbations to observe controller performance in interconnected power systems. Both PV-thermal-thermal and thermal-thermal-thermal systems exemplify innovative approaches to energy management that bolster energy efficiency and sustainability. By integrating these advanced systems, we can make significant strides towards achieving global sustainability goals and promoting a cleaner and support energy efficiency for the future.]]>
<![CDATA[Dynamic model and control strategies of battery-supercapacitor hybrid power sources for electric vehicles: a review ]]>
<![CDATA[Al Tahtawi, Adnan Rafi]]>;
<![CDATA[Rohman, Arief Syaichu]]>;
<![CDATA[Rusmin, Pranoto Hidaya]]>;
<![CDATA[Rizqiawan, Arwindra]]>
<![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.pp695-709
<![CDATA[The addition of a supercapacitor to electric vehicles is considered beneficial for extending battery lifetime. Due to its higher power density compared to the battery, a supercapacitor can efficiently handle sudden high-current demands. However, to achieve energy efficiency, a specific control strategy is required for this battery-supercapacitor (Batt-SC) hybrid power source (HPS). This paper reviews the dynamic model of the Batt-SC as HPS for electric vehicles and explores its various control strategies in order to achieve energy efficiency. A high-fidelity model, a control-oriented model, and an integrated dynamic model are presented. Various control strategies are then discussed, including high-level control, low-level control, and DC bus voltage regulation. This paper also identifies several key research opportunities, such as developing an integrated dynamic model of a hybrid Batt-SC electric vehicle, combining high-level and low-level control into a unified control strategy, and designing an optimal-adaptive controller that can minimize a certain performance index by considering nonlinearity factors.]]>
<![CDATA[Advanced multi-source converters for DC microgrids: integrating photovoltaic, wind, and hybrid storage systems ]]>
<![CDATA[Neelagiri, Suganthi]]>;
<![CDATA[Usha, Pasumarthi]]>
<![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.pp1261-1273
<![CDATA[This paper presents a new configuration for integrating multi-source and hybrid energy storage (HES) systems tailored for a direct current (DC) microgrid. Unlike conventional multi-input converters, the proposed design features a hybrid energy storage system combining ultracapacitors and batteries. The proposed system is intended to effectively manage power variations from wind, photovoltaic (PV) sources, and abrupt load changes. The inclusion of ultracapacitors addresses high-frequency fluctuations, thereby extending battery life and reducing the overall size of the storage unit. The control framework is designed to maintain power balance within the system, ensuring that renewable energy sources operate at their maximum power points and that energy storage is efficiently charged and discharged based on power availability. The main advantages of this configuration include: i) a reduced number of switches, ii) built-in voltage boosting and regulation for the ultracapacitor, and power-sharing between the battery and ultracapacitor, and iii) a streamlined control system with fewer components. The paper details the investigation, modeling, and design of the planned system, supported by MATLAB simulation results.]]>
<![CDATA[A novel temperature parametric method for rapid maximum power point detection in photovoltaic modules ]]>
<![CDATA[El Ouahab, Soufyane Ait]]>;
<![CDATA[Bakkali, Firdaous]]>;
<![CDATA[Amghar, Abdellah]]>;
<![CDATA[Zriouile, Rachid]]>;
<![CDATA[Sahsah, Hassan]]>;
<![CDATA[Boudouane, Meriem]]>
<![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.pp1284-1297
<![CDATA[Photovoltaic systems (PVS) exhibit variability in their maximum power point (MPP) output due to variations in irradiance and cell temperature. This can lead to reduced efficiency, as maximum power point tracking (MPPT) algorithms often have slow response times and limited ability to adapt to rapidly changing environmental conditions. New algorithms are therefore needed to capture more energy and improve the efficiency of these systems. In this context, this article presents a new method for temperature parametric (TP) and its implementation using a digital PI controller, a buck converter, and MATLAB-Simulink. This innovative approach relies on detecting the MPP by continuously measuring the cell temperature of the PV panel (????????????????????) and solar irradiance (S). A 3D linear regression model connects these two parameters with the maximum current (????????????????), enabling real-time monitoring of the MPP. We have applied this new method on two different types of PV (POLY-40W and BPSX330J) under a range of environmental conditions, including stable and dynamic scenarios. The results of the simulation demonstrate the superiority of our approach compared to the hill climbing (HC) for perturbation steps of HC (1%) and HC (2%). Our method achieves faster convergence time 0.009 s and high MPPT efficiency at 98.18%, fewer steady-state oscillations, and better detection.]]>
<![CDATA[PSO-based adaptive sliding mode control of a bidirectional DC-DC converter with an improved reaching law ]]>
<![CDATA[Cham, Julius Derghe]]>;
<![CDATA[Koffi, Francis Lénine Djanna]]>;
<![CDATA[Gabriel, Ekemb]]>;
<![CDATA[Boum, Alexandre Teplaira]]>
<![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.pp998-1011
<![CDATA[This paper explores the development of an adaptive sliding mode control (ASMC) that incorporates an improved optimal reaching law. We intend to use the proposed ASMC in DC microgrids or electric vehicle applications to regulate a bidirectional (two-way) buck-mode DC-DC converter. To initiate the design process, we develop a mathematical model of the converter operating in the charging mode. A particle swarm optimization is employed to help get the controller’s gains to better performance. By capitalizing on the benefits of an ASMC algorithm, the developed controller achieves improved reaching conditions, increased robustness, and strengthened stability. The efficacy of the suggested controller in comparison to conventional sliding mode control (CSMC) and ASMC is demonstrated through MATLAB/Simulink simulations conducted on the converter. The comparison demonstrates that the proposed controller achieves the intended transient response in steady-state conditions with minimal error and better reference tracking. The performance of the suggested controller is robust with regard to the rejection of variations in source voltage and load resistance. For applications involving DC microgrids or electric vehicles, the suggested controller will guarantee a consistent DC transit voltage.]]>
