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
63 Documents
Search results for
, issue
"Vol 16, No 3: September 2025"
:
63 Documents
clear
<![CDATA[Predictive machine learning for smart grid demand response and efficiency optimization ]]>
<![CDATA[Vinitha, J. C.]]>;
<![CDATA[Sumithra, J.]]>;
<![CDATA[Suganya, M. J.]]>;
<![CDATA[Dhas, P. Aileen Sonia]]>;
<![CDATA[Ramalingam, Balaji]]>;
<![CDATA[Pushparaj, Sivakumar]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijpeds.v16.i3.pp1628-1636
<![CDATA[This paper explores the evolution of smart grids (SGs) and how they enable consumers to schedule household appliances based on demand response programs (DRs) provided by distribution system operators (DSOs). This study looks at and compares four distinct regression models: linear regression, random forest regressor, gradient boosting regressor, and support vector regressor. This is being done because more and more people are using machine learning (ML) methods to make this process better. The models are trained and tested using a dataset that includes a variety of parameters, such as humidity, temperature, and the amount of power used by appliances. Mean squared error (MSE) and R-squared values are two important performance measures that are used to judge these models and see how well they can make predictions. These results reveal that the gradient boosting regressor was the most accurate model for figuring out how much energy smart homes use. This algorithm could be a great tool for better managing energy use because it can figure out the complicated connections between the things that are input and the amount of energy that appliances use. This study makes a big difference in the creation of strong regression models by emphasizing how important it is to be accurate when making predictions. This, in turn, helps to enhance energy sustainability and economic stability in smart home environments.]]>
<![CDATA[A new approach for optimal sizing and allocation of distributed generation in power grids ]]>
<![CDATA[Alkashashneh, Hudefah]]>;
<![CDATA[Agha, Ayman]]>;
<![CDATA[Baniyounis, Mohammed]]>;
<![CDATA[Al-Rousan, Wasseem]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijpeds.v16.i3.pp1598-1607
<![CDATA[This paper presents a methodology for optimizing the allocation and sizing of distributed generators (DG) in electrical systems, aiming to minimize active power losses on transmission lines and maintain bus voltages within permissible limits. The approach consists of two stages. First, a sensitivity based analysis is used to identify the optimal candidate bus or buses for DG placement. In the second stage, a new random number generation method is applied to determine the optimal DG sizing. Moreover, a ranking for the optimal locations and sizes is given in case the optimal location is unavailable in real-world scenarios. The proposed methodology is demonstrated through a straightforward algorithm and tested on the IEEE 14-bus and IEEE 30-bus networks. Numerical simulations in MATLAB illustrate the effectiveness of the proposed approach in finding the optimal allocation of DG and the amount of active power to be allocated at the candidate buses, considering the inequality constraints regarding voltage limits and DG allowable power. The paper concludes with results, discussions, and recommendations derived from the proposed approach.]]>
<![CDATA[Fuzzy logic-based energy management system for a microgrid with hybrid energy storage: design, control, and comparative analysis ]]>
<![CDATA[Neelagiri, Suganthi]]>;
<![CDATA[Usha, Pasumarthi]]>;
<![CDATA[Biradar, Siddalingappagouda]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijpeds.v16.i3.pp1991-2004
<![CDATA[This paper presents a fuzzy logic-based energy management controller for a microgrid with a hybrid energy storage system. The microgrid integrates intermittent renewable energy sources. To provide high quality, reliable and sustainable power, the microgrid depends on energy storage devices. The proposed fuzzy logic-based energy management controller controls the energy storage system’s power electronic converters by generating switching pulses based on the generation availability, load requirement, SOCs of battery, and supercapacitor. Additionally, a fuzzy logic-based energy management system is planned in such a way that high power needs are satisfied by supercapacitors and high energy needs are satisfied by batteries. To highlight the key benefits of utilizing a fuzzy logic-controlled hybrid energy storage system over PI -a controller-based cascaded dual loop energy management system, a comparative study is carried out. The results of the same is discussed elaborately in this paper. These studies were simulated using the MATLAB/Simulink software package.]]>
<![CDATA[Composite least mean fourth algorithm (CLMF) based dynamic voltage restorer for enhancement of power quality ]]>
<![CDATA[Kiran, Tummala Kranti]]>;
<![CDATA[Rajagopal, Balakrishnan]]>;
<![CDATA[Raju, Yerramilli Butchi]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijpeds.v16.i3.pp1484-1495
<![CDATA[This paper introduces the composite least mean fourth control algorithm (CLMF) with a dynamic voltage restorer (DVR) to address power quality problems linked to voltage at the source side and supply clean voltage to the distribution network's sensitive loads. The performance of the two least mean fourth adaptive filters combined convexly by this control technique is better than that of the filters working independently. When comparing the suggested control to conventional synchronous reference frame-based vector control, phase-locked loops, abc to dq transformations, and dq to abc transformations are all practically eliminated. When compared to standard least mean square (LMS) and least mean fourth (LMF) control approaches, the proposed CLMF's features—simple computation, ease of implementation, reduced settling time, and increased reliability—show that the suggested controller is more efficient. The proposed CLMF controller excels in terms of rise time, 0.082 sec., and less settling time, 0.092 sec., respectively, with a peak overshoot of 2.33% compared with the aforementioned control algorithms. Different voltage-related PQ issues have been corrected successfully by the proposed CLMF. Through simulation using MATLAB/Simulink, system performance has been verified.]]>
<![CDATA[Evaluating shading effects on photovoltaic modules: Mathematical modeling with ideal, single, and double diodes ]]>
<![CDATA[Abouyaakoub, Mohcine]]>;
<![CDATA[Chahboun, Mbarek]]>;
<![CDATA[Ali, Ali Ait]]>;
<![CDATA[Mrabet, Aziz El]]>;
<![CDATA[Hihi, Hicham]]>;
<![CDATA[Barakat, Souhail]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijpeds.v16.i3.pp1949-1961
<![CDATA[Among the issues that solar systems face is partial shadowing that can be caused by many factors, such as trees, buildings, or clouds. A shaded module will produce less energy, which reduces the power supplied by a solar system based on PV panels. The purpose of this study is to model and simulate photovoltaic modules based on an ideal single and double diode. After that, we will simulate five configurations formed by nine photovoltaic solar panels: series (S), parallel (P), series-parallel (SP), bridge-link (BL), and total-cross-tied (TCT) under uniform and non-uniform cases (center, diagonal, and frame). These five PV solar configurations are compared in terms of short circuit currents (ISC), open circuit voltages (VOC), peak powers (PMP), the voltage and current values corresponding to maximum power (VMP, IMP), mismatch power loss (MPL), fill factor (FF), efficiency ratio (ER), and overall maximum power (OMP). The six PV configurations are simulated, considering the parameters of the STM6-40/36 PV module.]]>
<![CDATA[Navigating the future of energy storage: insights into lithium-ion battery technologies ]]>
<![CDATA[Chenchireddy, Kalagotla]]>;
<![CDATA[Nagabushanam, Perattur]]>;
<![CDATA[Dora, Radhika]]>;
<![CDATA[Jagan, Vadthya]]>;
<![CDATA[Sydu, Shabbier Ahmed]]>;
<![CDATA[Manohar, Varikuppala]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijpeds.v16.i3.pp1429-1437
<![CDATA[Lithium-ion batteries are now considered essential technology for a wide range of contemporary applications due to the growing need for effective and sustainable energy storage solutions. The various lithium-ion battery chemicals that are covered in detail in this paper are lithium iron phosphate (LFP), lithium nickel manganese cobalt (NMC), lithium nickel cobalt aluminum oxide (NCA), lithium-ion manganese oxide (LMO), lithium-ion cobalt oxide (LCO), and lithium titanate oxide (LTO). Based on critical performance metrics such as energy density, life cycle, charge/discharge rates, cost, and operational temperature range, each kind is assessed. Additionally, the paper discusses the future potential of lithium-ion technologies, with a focus on advancements in energy density, safety, sustainability, and recycling. By assessing the strengths and limitations of various lithium-ion chemicals, this paper seeks to provide valuable insights into the rapidly evolving field of battery technology, highlighting their indispensable role in the transition to sustainable energy systems. Lithium ion batteries have the potential to significantly enhance the efficiency and dependability of energy storage systems in a variety of applications with further research and development.]]>
<![CDATA[Quantum machine learning ensemble for surface crack detection ]]>
<![CDATA[Sankaran, A.]]>;
<![CDATA[Palanivel, N.]]>;
<![CDATA[Dhamotharan, S.]]>;
<![CDATA[Nivas, K.]]>;
<![CDATA[Raj, V. Merwin]]>;
<![CDATA[Shivaprakash, M.]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijpeds.v16.i3.pp2112-2121
<![CDATA[By identifying the aspects of manual inspection methods in the context of industrial production, which are described within the undertaken research, the development of an automated visual inspection technology is driven. This causes more time to be spent on performing the checks, thus adding to the labor cost. The efficiency of the operations is reduced, and there is a tendency for errors due to fatigue in checking 24/7. The proposed solution for a new product is designed to change the approach of the existing manufacturing process by using the automated system to self-inspect the surface and notify of its defects during manufacturing. As an enhancing advancement, this new development aims to address apprehensions pertaining to manual examination as the world transitions into the fault tolerant period. Lastly, this approach fits the universal grail of further developing industrial capacities, with the resulting thought process extending to the incorporation of technologies such as quantum computing with the current requirements of manufacturing. Other potential applications of this approach, including aerospace applications of ultrasonic testing or thermography in the detection of surface cracks, might also help improve this approach in the future.]]>
<![CDATA[A versatile three-level CLLC resonant converter for off-board EV chargers with wide voltage adaptability contribution ]]>
<![CDATA[Guttikonda, Chandra Babu]]>;
<![CDATA[Varma, Pinni Srinivasa]]>;
<![CDATA[Kumar, Malligunta Kiran]]>;
<![CDATA[Rao, Kambhampati Venkata Govardhan]]>;
<![CDATA[Teerdala, Rakesh]]>;
<![CDATA[Kanagala, Santoshi]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijpeds.v16.i3.pp1775-1788
<![CDATA[The vehicle-to-grid (V2G) concept has gained significant attention in the last decade due to its potential to enhance direct current (DC) microgrid stability and reliability. Electric vehicles (EVs) play a central role in distributed energy storage systems, optimizing efficiency and enabling the integration of renewable energy sources. This study offers a unique three level CLLC resonant converter developed for off-board EV chargers to promote bidirectional power transfer between DC microgrids and EVs. The suggested converter uses resonant CLLC components and two three-level full bridges to effectively handle a broad range of EV battery voltages (200 V–700 V). To ensure effective power conversion, the first harmonic approximation (FHA) model is used to analyse the converter's resonant frequency characteristics. The proposed system achieves high efficiency (>95%), with voltage stability maintained at 750 V under various load conditions. The converter's performance was validated through MATLAB based simulations, comparing proportional integral (PI) and proportional integral derivative (PID) control strategies. The PID-controlled system demonstrated superior dynamic response, reduced current ripples, and enhanced voltage regulation compared to the PI-controlled system. This study demonstrates the viability of implementing a three-level CLLC resonant converter for efficient, bidirectional, and wide-voltage adaptation in EV charging infrastructure, thereby contributing to grid stability and renewable energy integration.]]>
<![CDATA[Fuzzy logic-based adaptive virtual inertia control for enhancing frequency stability in low-inertia microgrids ]]>
<![CDATA[Boutfarjoute, Omar]]>;
<![CDATA[Chekenbah, Hamid]]>;
<![CDATA[Maataoui, Yassir]]>;
<![CDATA[Lasri, Rafik]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijpeds.v16.i3.pp2005-2016
<![CDATA[The increasing integration of renewable energy sources (RES) is accelerating the shift from traditional synchronous machine-based power systems to inverter-dominated grids. This transition poses significant frequency stability challenges, as power electronic interfaces lack the inherent kinetic energy storage of conventional generators, resulting in low system inertia. To address these challenges, this study proposes an adaptive virtual inertia control system based on fuzzy logic, which offers notable advancements in frequency dynamics. The proposed controller dynamically adjusts the virtual inertia constant in real-time by leveraging inputs such as frequency and the rate of change of frequency (RoCoF). This adaptive approach overcomes the limitations of fixed inertia systems, ensuring improved frequency stability and superior transient performance during load disturbances. Simulation results validate the system's effectiveness, showing reduced frequency overshoots, minimized deviations, and faster recovery to nominal frequency compared to conventional fixed inertia methods. By rapidly damping oscillations and enhancing transient stability, the proposed system significantly outperforms traditional techniques. Moreover, the study reviews current virtual inertia strategies, control topologies, and explores future research directions for integrating advanced virtual inertia into modern grids. These findings demonstrate the robustness of fuzzy logic based adaptive inertia for stabilizing low-inertia microgrids with high RES penetration.]]>
<![CDATA[Enhance the performance of 3-phase induction motors with the utilization of a 9-phase winding design ]]>
<![CDATA[Zulkarnaini, Zulkarnaini]]>;
<![CDATA[Bandri, Sepannur]]>;
<![CDATA[Erhaneli, Erhaneli]]>;
<![CDATA[Anthony, Zuriman]]>;
<![CDATA[Warmi, Yusreni]]>;
<![CDATA[Rachman, Arfita Yuana Dewi]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijpeds.v16.i3.pp1528-1536
<![CDATA[Because of its sturdy design, affordability, and convenience of use, the three phase induction motor is a common kind of electric motor, especially in the industrial sector. This motor design is still being improved to make it work better. For example, permanent magnets are being added to the rotor, control systems are getting better, the number of phases is being increased, and motor winding designs are developing. Nevertheless, the creation of the motor winding design is the least expensive aspect of all these endeavors. By creating a nine-phase winding configuration with a three-layer design in the motor, this study aims to enhance the performance of a three-phase induction motor. This study examined output power, speed, mechanical torque, and motor efficiency in a 3-phase system operation. The study's results indicated that the new design motor worked better, with higher output power (4.27%), rotor speed (0.61%), and mechanical torque (3.47%), despite a minor reduction in efficiency relative to conventional 3-phase induction motors (-0.24%).]]>
