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
2,660 Documents
<![CDATA[Development of an advanced current mode charging control strategy system for electric vehicle batteries ]]>
<![CDATA[Fang, Liew Hui]]>;
<![CDATA[Romli, Muhammad Izuan Fahmi]]>;
<![CDATA[Rahim, Rosemizi Abd]]>;
<![CDATA[Aziz, Muhammad Ezanuddin Abdul]]>;
<![CDATA[Rahman, Diyya Hidayah Abd]]>;
<![CDATA[Mokhtaruddin, Habibah Haji]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i4.pp2639-2650
<![CDATA[Electric vehicles (EVs) face customer hesitancy due to challenges in locating fast charging stations, lengthy recharging times, and incompatible charging ports. This research addresses these issues by proposing a novel current mode control strategy for EV battery charging. Traditional charging methods often result in suboptimal rates, battery degradation, and safety risks. The primary objective is to enhance charging efficiency, safety, and battery lifespan by optimizing parameters such as voltage and current. Control mode charging offers significant advantages over plug-in charging by minimizing stress factors that contribute to degradation, such as high temperatures and excessive charging cycles. This approach aims to extend the lifespan of EV batteries while ensuring safe, efficient, and fast charging. The control system offers three charging modes: slow (0.49 A, 6.31 W, 264 mins), medium (2.74 A, 34.85 W, 50 mins), and fast (4.62 A, 50.80 W, 30 mins) using a 12 V single-phase supply. This advanced strategy significantly improves EV charging system efficiency, with fast charging achieving 80% higher efficiency than slow charging in both simulations and experimental testing. The key contribution of this research is the development of a tailored current mode charging strategy that optimizes charging efficiency while ensuring battery longevity and safety.]]>
<![CDATA[Performance improvement of the RSM970S radar speed controller of ASECNA, Douala International Airport ]]>
<![CDATA[Angon, Moussa Bessike]]>;
<![CDATA[Florence, Offolé]]>;
<![CDATA[Séverin, Nguiya]]>;
<![CDATA[Jordan, Moune Cédric]]>;
<![CDATA[Max, Ndoumbé Matéké]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i4.pp2080-2088
<![CDATA[This article addresses the direct torque control associated with artificial intelligence for the control of the RSM970S radar of The Agency for the Safety of Air Navigation in Africa and Madagascar (ASECNA), Douala International Airport. The radar is driven by two identical induction motors powered by a single inverter. Direct torque control is associated with fuzzy logic and artificial neural networks. The test results performed in MATLAB/Simulink showed an improvement in the dynamic performance of the drive system compared to a conventional direct torque control. There is an overshoot in speed during the steady state of less than 0.955% of the neural technique over the fuzzy technique. But also, an accuracy of 99.58% of the two techniques proposed in this article. These results ensure good precision and stability of the radar in the detection of airplanes in the Cameroonian airspace.]]>
<![CDATA[A systematic review on voltage stability analysis in smart and islanded microgrid parallel inverters ]]>
<![CDATA[Bangari, Sowmya Renuka]]>;
<![CDATA[Shivaleelavathi, Bangalore Gangadharaiah]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i4.pp2422-2434
<![CDATA[The development of a smart grid depends on measuring and communication technologies and gathering heterogeneous data from micro grid. This enormous data contains procedures and methods that make it easier to use vast data while also increasing computing complexity and security. Given the maturity of power electronics technology, the penetration of distributed generation in both on- and off-grid environments has advanced in ways that have never been seen. Any complicated power system, like the off-grid parallel inverters, requires a stability study that considers several state variables. The smart grid environment's rising complexity and data explosion necessitate more hardware, which raises costs and necessitates additional physical space. An introduction to the special issue on voltage stability of micro grids with parallel inverters in power systems is presented in this review paper. Self-synchronizing inverters known as parallel inverters do not require a reference from the main grid to synchronize with one another. There are several general analytical techniques and enhanced procedures covered. The similarities, functionality, applications, designs, benefits, drawbacks, and general effectiveness are then contrasted. The significant contribution of this in-depth review is to establish a strong foundation for subsequent research in the area.]]>
<![CDATA[A novel eight-switch nine-level modified ANPC inverter topology and its optimal modulation strategy ]]>
<![CDATA[El-Alami, Adnane]]>;
<![CDATA[Majdoul, Radouane]]>;
<![CDATA[Ait Elmahjoub, Abdelhafid]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i4.pp2234-2242
<![CDATA[An eight-switch nine-level modified ANPC inverter (8S-9L-MANPC) is designed and simulated in this paper. With this topology, only one DC voltage source and eight active semiconductor switches are required, significantly reducing system size, weight, and cost. The structure consists of a five-level ANPC inverter cascaded with a two-level leg converter. This arrangement extends the 5L-ANPC structure to a 9L configuration without requiring the use of additional capacitors. To maintain the balancing of the flying capacitor (FC), a modulation strategy using a switching state redundancy-based control method is employed. Recent 9L inverters incorporating flying capacitors and based on a hybrid structure have been compared with the proposed structure. By conducting this comparison, we can highlight the potential improvements offered by the proposed structure over the recent 9L inverters in terms of reduced component count, simplified design, and cost savings. The proposed 8S-9L-MANPC inverter is tested under various operating situations in MATLAB/Simulink simulation.]]>
<![CDATA[Design system and performance analysis of fish storage box by utilizing solar energy ]]>
<![CDATA[Setiawan, Rizal Justian]]>;
<![CDATA[Ma'ruf, Khakam]]>;
<![CDATA[Darmono, Darmono]]>;
<![CDATA[Suryanto, Indra Dwi]]>;
<![CDATA[Hermawan, Andi Tri]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i4.pp2591-2602
<![CDATA[Indonesia is a maritime country and many people work as traditional fishermen. Traditional fishermen generally use thermos filled with wet ice, ice boxes, or ice blocks to maintain the freshness of fish. The temperature obtained is still insufficient to maintain the fish’s quality and freshness. Furthermore, some existing technologies are expensive and use fossil fuels. Researchers designed and manufactured a cool box that utilizes solar energy to store fish. The experimental research method was conducted by testing the performance of the cool box device at four different locations. The results showed that the solar panel produced an average of 2,527.2 W of energy in a day, which can power the cool box device for 10 hours. To maintain the fish’s freshness with the reference temperature of 0 °C-5 °C, the device uses temperature control to prevent the fish from freezing, which damages its structure. The temperature control also helps the tool save energy, allowing it to last 170 minutes longer than without using the temperature control feature.]]>
<![CDATA[PV/T water-based cooling in hot climate conditions by using semi-circle baffles ]]>
<![CDATA[Altharwanee, Hayder]]>;
<![CDATA[Jurado, Francisco]]>;
<![CDATA[Vera, David]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i4.pp2660-2673
<![CDATA[PV/T water-based system using multi-row semi-circle baffles (SCB) is numerically investigated. Experimental validation was carried out in hot climate conditions. Factors associated with heat transfer enhancement, like Nusselt number, pressure drop, friction factor, electrical efficiency, and thermal efficiency, were calculated and discussed to show the impact of SCB on photovoltaic or PV cooling and system performance. Six different magnitudes of Reynolds number (500-4000), and mass flow rate (0.0137-0.0998) L/s at different radiation values were carried out in the simulation. Results indicated that utilizing SCB has an important effect on the PV/T system. In comparison to the smooth channel, the average Nusselt number of the enhanced channel increased by around (31.57-132.18) %, and the friction factor increased by (21.93-95.7) % while the thermal efficiency increased by about (16.34-79.29) %. These results indicate the system’s good performance in terms of photovoltaic panel cooling and power production. PV surface temperature reduced by about (4-20) ℃. The electrical efficiency improved up to 32% and 49% for the smooth and enhanced channels respectively. The cost-benefit ratio (CBR) of the enhanced channel demonstrated that there is no detrimental influence of the pressure drop on the thermal performance.]]>
<![CDATA[Construction of fuzzy systems based on fuzzy c-means clustering and singular value decomposition for predicting rate of penetration in geothermal drilling ]]>
<![CDATA[Abadi, Agus Maman]]>;
<![CDATA[Mansyaroh, Akhid Khirohmah]]>;
<![CDATA[Lukmana, Allen Haryanto]]>;
<![CDATA[Harini, Lusi]]>;
<![CDATA[Sugiyarto, Aditya Wisnugraha]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i4.pp2190-2198
<![CDATA[The potential for geothermal energy is very abundant, but its utilization is still minimal. Therefore, the utilization of geothermal energy facility that has been installed must be optimized. This study aims to predict drilling rate of penetration using the first-order Sugeno’s fuzzy system. Fuzzy c-mean and singular value decomposition were used to form the rules and determined the parameters respectively. This study used in total of 6738 data of geothermal wells drilling in Indonesia. The results show that the rate of penetration prediction has accuracy 85.76% for data training and 87.72% for data testing, and it is better than the radial basis function neural networks (RBFNN) and RBFNN-singular value decomposition (SVD) methods.]]>
<![CDATA[Modelling of Harris Hawks optimization with deep learning-assisted microgrid energy management approach ]]>
<![CDATA[Sivaraman, Kamalakkannan]]>;
<![CDATA[Nandhagopal, Kamalakannan]]>;
<![CDATA[Geethamahalakshmi, G.]]>;
<![CDATA[Balasubramaniam, Ravisankar]]>;
<![CDATA[Kaliappan, E.]]>;
<![CDATA[Alluri, Amarendra]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i4.pp2128-2137
<![CDATA[Microgrid (MG) is a potential decentralized energy distribution and generation technology that is resilient, reliable, and efficient. This small-scale power system is reliable and resilient since it connects to the grid or runs independently. Renewable energy is difficult to integrate into MG due to variable load and unreliable electricity. MG operation relies on an energy management system (EMS) to balance electricity demand and supply, reduce operational costs, and maximize renewable energy use. Intelligent control systems, optimization methods, and machine learning algorithms were used for MG EMS. The Harris Hawks optimization with deep learning-assisted microgrid energy management (HHODL-MGEM) technique is developed in this work. HHODL-MGEM comprises two main stages. In the first step, the HHODL-MGEM approach uses the Harris Hawks optimization or HHO algorithm to meet load power demands at a low cost while maintaining DC bus voltage and protecting the battery from overcharging and depletion. In the second step, long short-term memory (LSTM) networks can predict power costs. The HHODL-MGEM approach is evaluated using multiple methods. The experimental results showed that HHODL-MGEM outperforms other methods.]]>
<![CDATA[Stochastic assessment of voltage sags and techno-economic optimization ]]>
<![CDATA[Raman, Jeyagopi]]>;
<![CDATA[Chan, Choon Kit]]>;
<![CDATA[Gupta, Munish Kumar]]>;
<![CDATA[Asmara, Yuli Panca]]>;
<![CDATA[Baskara, Sudesh Nair]]>;
<![CDATA[Kaewthep, Chaloemphol]]>;
<![CDATA[Gao, Yuzhen]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i4.pp2501-2516
<![CDATA[Power quality has become an essential concern for industries and domestic energy consumption with the development of sophisticated equipment like micro-electronic devices. When a power quality event happens, such as voltage sag, financial losses for industries increase tremendously. Therefore, voltage sag evaluation becomes crucial for predicting the number of events and severity of voltage sag events of the electrical network. Industries can determine the mitigation investment needed for optimal operation using the knowledge obtained through voltage sag analysis method. Thus, the first part of the study addressed the development of a stochastic assessment method for voltage sag at an interested bus in the power system network, which was an initial objective of the study. The second part of the research investigates dynamic voltage restorer (DVR) control techniques, as well as the necessary capacitance and energy storage dimensions. The studies also recommend a technique for economic evaluation that emphasizes the expense of voltage sag events as well as the cost of investment in DVR with and without voltage sag events. The size of DVR and economic assessment model established in these studies enables industries to rate the cost of voltage sag and the total investment in mitigation devices.]]>
<![CDATA[Load forecasting analysis for estimating transformer capacity of Karangkates Substations using Holt-Winters method in Python ]]>
<![CDATA[Rahmawati, Yuni]]>;
<![CDATA[Kaki, Gregorius Paulus Mario Laka]]>;
<![CDATA[Aripriharta, Aripriharta]]>;
<![CDATA[Sujito, Sujito]]>;
<![CDATA[Afandi, Arif Nur]]>;
<![CDATA[Wibawa, Aji Prasetya]]>;
<![CDATA[Purwatiningsih, Ayu]]>;
<![CDATA[Bagaskoro, Muhammad Cahyo]]>;
<![CDATA[Omar, Saodah]]>;
<![CDATA[Rosmin, Norzanah]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i4.pp2222-2233
<![CDATA[In the six years from 2010 to 2015, the peak load in the East Java region increased by an average of 284MW per year. Karangkates Substation is part of an interconnected electrical system that supplies Java Island. To ensure a high level of reliability in its service, it is necessary to prepare for load growth to make sure that it does not exceed its ideal conditions, therefore special analysis of transformer capacity is needed. Using the Holt-Winters (HW) method as a reference for processing the data can be used as a reference in planning and anticipating the growing electricity demand. The results of this study are with the accuracy of the HW method with mean absolute percentage error (MAPE) = 2.645%, while the accuracy of the fuzzy time series (FTS) method = 6.399%. A forecast result done with HW methods shows the transformer at the substation Karangkates reached its normal working capacity in March 2018 at 99.583% of installed capacity and exceeded the maximum capacity in April 2018 at 101.493% of installed capacity.]]>
