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[Inverter transient response improvement using grey wolf optimizer for type-2 fuzzy control in HVDC transmission link ]]>
<![CDATA[Ginarsa, I Made]]>;
<![CDATA[Muljono, Agung Budi]]>;
<![CDATA[Nrartha, I Made Ari]]>;
<![CDATA[Seniari, Ni Made]]>;
<![CDATA[Sultan, Sultan]]>;
<![CDATA[Zebua, Osea]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i3.pp2130-2142
<![CDATA[High voltage direct current (HVDC) on transmission-link becomes a new prominent technology in recent years. The HVDC is applied to transmit amount of electrical energy from power plant to consumers. This method makes reactive power losses on transmission devices decrease significantly and stability level of generator increases. However, inverter HVDC transmission system can produce slow and high inverter transient current (ITC) response at high value of the up-ramp rate. This ITC phenomenon can be serious problem at starting time. So grey wolf algorithm is proposed to optimize input-output parameters of interval type-2 fuzzy control (IT2FC) in inverter-side HVDC. The proposed control performance’s is assessed by integral time squared error (ITSE) and peak overshoot (Mp) approaches. Simulation results show that small ITSE and low Mp of transient response are given by the IT2FC. The IT2FC is successful applied on inverter HVDC with better results compared to conventional PI control scheme.]]>
<![CDATA[Direct torque control of induction motor using a novel sliding mode control ]]>
<![CDATA[Pham, Ngoc Thuy]]>;
<![CDATA[Le, Duc Thuan]]>;
<![CDATA[Nguyen, Phu Diep]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i3.pp1586-1597
<![CDATA[Direct torque control (DTC) for induction motor (IM) drive systems is recognized as a powerful control method known for its fast response and simple structure. However, this control method often suffers from several limitations, such as significant torque and current ripple, and sensitivity to variations in motor parameters. To address these issues, this paper proposes a novel sliding mode control strategy for the outer speed loop to improve the quality of DTC-based IM drive systems. Unlike previous approaches, we propose a novel adaptive parameter higher-order sliding mode (HOSM) controller for IM speed control. This approach enhances the drive system's performance by reducing torque ripple (a common issue in DTC), improving dynamic response, eliminating overshoot during transients, and increasing overall system stability. To ensure system stability, Lyapunov stability theory is used to design the control signals. The efficiency of the control law proposed in this paper is evaluated based on simulations performed on MATLAB-Simulink. The results obtained demonstrate that: First, the proposed control model for fast torque and speed responses, ensuring the drive system converges to the desired operating point during transients without encountering the phenomenon of exceeding the threshold. Second, the system maintains stable operation, even in the presence of load disturbances. Third, this method significantly reduces torque ripple, a common problem in IM drive systems using DTC techniques.]]>
<![CDATA[Modelling and optimization of hybrid renewable energy system using SBLA-MAT algorithm ]]>
<![CDATA[Udayakumar, Arun Kumar]]>;
<![CDATA[Ashok, P.]]>;
<![CDATA[Raman, Mohan Das]]>;
<![CDATA[Ramasamy, Krishnakumar]]>;
<![CDATA[Amir, Mohammad]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i3.pp1897-1913
<![CDATA[In order to enhance the reliability and economic feasibility of power systems, this research presents a hybrid control method for the optimal design of hybrid renewable energy sources (RES), including fuel cells, solar photovoltaic (PV), and wind power. Optimization of the power system to enhance efficiency and reduce downtime is achieved using the side blotched lizard optimization with multi-objective artificial tree algorithm (SBL MAT). The research intends to reduce costs in wind, PV, and FC scenarios and make it reliable for load delivery at a low cost and high level of dependability. While a mathematical model of SBL behavior demonstrates the need to discover and implement global optimizing approaches, the MAT algorithm resolves the supervised classification challenge. Possible benefits of the proposed technology include increased reliability and decreased maintenance costs for electrical systems. The proposed approach enables cost-effective and reliable load generation from PV, wind, and fuel cell systems, regardless of the volatility of the weather. Using MATLAB/Simulink, the assessment of parameters like recall, specificity, accuracy and precision is carried out and the results were 99.91%, 99.85%, 99.65%, and 99.325%, respectively. The parameters loss of load expectation (LOLE) and loss of energy expectation (LOEE) are calculated for analysis using both current and future technology.]]>
<![CDATA[Optimal placement of recloser for the improvement of reliability indices in radial distribution system using hybrid PSO-firefly algorithm ]]>
<![CDATA[Ogunjuyigbe, Jacob Kehinde]]>;
<![CDATA[Ashigwuike, Evans Chinemezu]]>;
<![CDATA[Araoye, Timothy Oluwaseun]]>;
<![CDATA[Aina, Oluyinka Olugbenga]]>;
<![CDATA[Ozulu, Onyekachukwu Denis]]>;
<![CDATA[Ibrahim, Sardauna]]>;
<![CDATA[Onuh, Issac Ojochogwu]]>;
<![CDATA[Mbamalu, Ikenna Chuddy]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i3.pp1840-1851
<![CDATA[Electricity outages are frequently caused due to problems in the electric distribution system (EDS). The method presented in this research describes a comprehensive dual-phased designed to enhance the electric network efficiency and reliability. A hybrid particle-firefly optimization method is applied in the first phase to allocate reclosers and sectionalizer in an optimal accessible path. Furthermore, in the second phase, the Medium distribution voltage Systems that comprises five main circuit breaker and one power source are taken into consideration, as well as automatic load shift to an alternative power supply and the secondary circuit breaker shut down under normal conditions. The authors provide a streamlined technique based on swapping out loads discrete to determine the reduction value of the anticipated energy not-supplied (ENS) and cost of energy not-supplied (CENS) to customers after installing sectionalizer and recloser in APO radial substation network. The optimized CENS with protective device of the distribution system is tremendously reduce compared to the CENS of the conventional state which has no protective scheme.]]>
<![CDATA[Modeling and simulation of klystron-modulator for linear accelerators in PRTA ]]>
<![CDATA[Wijono, Wijono]]>;
<![CDATA[Arthanto, Dwi Handoko]]>;
<![CDATA[Setiaji, Galih]]>;
<![CDATA[Saputra, Angga Dwi]]>;
<![CDATA[Taufik, Taufik]]>;
<![CDATA[Harto, Andang Widi]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i3.pp1822-1831
<![CDATA[Approximately 70% of commercial industries worldwide use electron accelerator technology for various irradiation processes. The advantages of irradiation processes compared to thermal and chemical processes are higher output levels, reduced energy consumption, less environmental pollution, and producing superior product quality and having unique characteristics that cannot be imitated by other methods. Research Center for Accelerator Technology (PRTA), BRIN, Indonesia is developing standing wave LINAC (SWL) for food irradiation applications at S-band frequencies (±2856 MHz), electron energy of 6-18 MeV, and an average beam power of 20 kW. This paper aims to model, simulate, and analyze the klystron modulator in the RF linear accelerator (LINAC). The klystron modulator is the main component of the RF LINAC, which functions to supply klystron power with the order of megawatt peak DC, so that the klystron can amplify the low-level RF signal from the RF driver into a high-power RF signal with a power of 2-6 MW peak. The klystron modulator modeling is carried out based on mathematical modeling, then simulated using LTspice to analyze the system performance of the klystron modulator. The results of the klystron modulator modeling simulation show stable system performance and dynamic response. So that it meets the specifications of the 6-18 MeV SWL LINAC being developed by PRTA-BRIN.]]>
<![CDATA[Improving electrical energy efficiency through hydroelectric power and turbine optimization at the El Oued water demineralization plant in Algeria ]]>
<![CDATA[Miloudi, Khaled]]>;
<![CDATA[Medjghou, Ali]]>;
<![CDATA[Djokhrab, Ala Eddine]]>;
<![CDATA[Laouamer, Mosbah]]>;
<![CDATA[Remha, Souheib]]>;
<![CDATA[Aoun, Yacine]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i3.pp1881-1896
<![CDATA[This paper presents an investigation into the energy potential of the Albian aquifer in the Algerian Sahara at the El Oued water demineralization plant, focusing on its capacity to generate electrical power due to its high-pressure and high-temperature water reserves. We designed and implemented a turbine-generator system to convert hydraulic energy into electricity, achieving an average annual energy output of 1,804,560 kWh, which translates to a financial gain of approximately 345,888,600 DZD per year from energy savings. The selection of a Francis turbine was justified based on its efficiency, which ranges from 90% to 95%, and the system design was simulated using MATLAB-Simulink, demonstrating its robustness and effectiveness in managing the electrical network parameters. Our economic analysis indicates a high return on investment, confirming the feasibility of utilizing the Albian aquifer as a strategic asset for clean and reliable energy production in the region.]]>
<![CDATA[Smart energy management in renewable microgrids: integrating IoT with TSK-fuzzy logic controllers ]]>
<![CDATA[Haidari, Moazzam]]>;
<![CDATA[Kumar, Vivek]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i3.pp1620-1627
<![CDATA[Hybrid microgrids powered by renewable energy sources are gaining popularity globally. Photovoltaic (PV) and permanent magnet synchronous generator (PMSG)-based wind energy systems are widely used due to their ease of installation. However, wind and solar energy are unpredictable, leading to fluctuating power generation. Simultaneously, load demand varies randomly, making it necessary to integrate storage devices to maintain a balance between generation and consumption. To enhance system economy, a small battery is combined with a hydrogen-based fuel cell and electrolyzer for efficient energy storage and management. A robust energy management system (EMS) is critical to ensure power quality and reliability across all microgrid components. Maximum power point trackers (MPPTs) are employed to maximize renewable energy utilization. Frequency stability and ensuring power balance is important in autonomous microgrids, especially during rapid load or source variations. This paper presents a novel fuzzy rule-driven Takagi-Sugeno-Kang (TSK) controller for the EMS, ensuring fast, precise responses and improved microgrid reliability.]]>
<![CDATA[Digital twin-based performance evaluation of a photovoltaic system: A real-time monitoring and optimization framework ]]>
<![CDATA[Fadel, Mustafa]]>;
<![CDATA[Alelaj, Fajer 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 ]]>
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DOI: 10.11591/ijpeds.v16.i3.pp2072-2081
<![CDATA[The digital twin (DT) technology implementation in photovoltaic (PV) systems provides an innovative approach to real-time performance monitoring and predictive maintenance. In this paper, an end-to-end DT framework for real-time performance analysis, fault detection, and optimization of a 250 W PV system is proposed. A physics-based equation and AI-based prediction hybrid DT model is developed through MATLAB/Simulink, trained from real data acquired by means of a testbed. The DT simulates the dynamic physical PV system behavior and adjusts itself using self-correcting algorithms to enhance precision in prediction and forecast power output at high fidelity. Results indicate that the DT gives the true response of the PV system with very small differences attributable to model approximations and sensor faults, 95% error minimization after compensation, and a root mean square error (RMSE) of 2.8 W, indicating its applicability for real-time monitoring and predictive main-maintenance. The work here focuses on the feasibility of applying DTs towards the autonomous optimization of distributed renewable energy systems.]]>
<![CDATA[Optimization of two-stage DTMOS operational transconductance amplifier with Firefly algorithm ]]>
<![CDATA[Chary, Udari Gnaneshwara]]>;
<![CDATA[Mummadi, Swathi]]>;
<![CDATA[Kishore, Kakarla Hari]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i3.pp1417-1428
<![CDATA[This paper presents a methodology for optimizing dynamic threshold MOSFET (DTMOS) two-stage operational transconductance amplifiers (OTAs) tailored for biomedical applications through the utilization of the Firefly algorithm. The optimization process focuses on enhancing key performance metrics such as gain, bandwidth, and power efficiency, which are critical for biomedical signal processing, neural interfaces, and wearable healthcare devices. The methodology encompasses circuit architecture definition, Firefly algorithm implementation, fitness evaluation, and result analysis. The optimization results reveal a significant enhancement in performance metrics. Specifically, the number of transistors in the design is 25. The initial overall gain was 76.65 V/V, with a power efficiency (µ) of 1.6. After optimization, the overall gain was significantly improved to 84.029 dB using the Firefly algorithm, demonstrating superior performance compared to existing algorithms. The power efficiency (µ) was also enhanced to 1.702, underscoring the efficiency improvements achieved through optimization. Simulation results and statistical analysis confirm that the Firefly algorithm effectively achieves optimal configurations, improving the robustness of OTA designs against parameter variations. These enhancements validate the algorithm's efficacy in addressing power-performance trade-offs and its suitability for diverse biomedical applications. Physical prototyping of the optimized design further demonstrates real-world functionality, underscoring its practical applicability.]]>
<![CDATA[Modeling, tuning, and validating of exciter and governor in combined-cycle power plants: a practical case study ]]>
<![CDATA[Baswaimi, Saleh]]>;
<![CDATA[Verayiah, Renuga]]>;
<![CDATA[Xu, Tan Yi]]>;
<![CDATA[Panneerchelvan, Nagaraja Rupan]]>;
<![CDATA[Abidin, Aidil Azwin Zainul]]>;
<![CDATA[Marsadek, Marayati]]>;
<![CDATA[Ramasamy, Agileswari K.]]>;
<![CDATA[Abidin, Izham Zainal]]>;
<![CDATA[Jaafar, W. Mohd Suhaimi Wan]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i3.pp1645-1657
<![CDATA[Exciter and governor systems are critical to regulating power output and maintaining stability in power systems. Despite their significance, there is a lack of practical methodologies that leverage real power plant data for modeling, tuning, and validation. This research paper seeks to fill this gap by presenting a methodology that utilizes a transfer function and control algorithms for tuning and validation. The proposed approach is demonstrated through a case study of a practical combined-cycle power plant in Malaysia. The control algorithm's effectiveness is verified through MATLAB and Simulink simulations. Post-tuning assessments confirm the method’s ability to accurately determine tunable control parameter settings, meeting system requirements while ensuring grid stability and reliability. This versatile approach can be applied to various power plant configurations, making it a valuable tool for optimizing operations.]]>
