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[Machine learning based optimal control of modular converter for PV assisted power supply systems ]]>
<![CDATA[Teja, Srungaram Ravi]]>;
<![CDATA[Yadlapati, Kishore]]>
<![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.pp2570-2579
<![CDATA[This paper presents the topology and machine learning-based intelligent control of a single-stage grid-connected high-power photovoltaic (PV) system for quality power export to the grid and optimal net energy utilization. A nineteen-level bi-modular inverter is proposed for efficient single-stage PV power conversion. The proposed integrated intelligent machine learning-based control serves for power conversion control as well as supervisory control for hourly PV energy estimation and load demand control for optimal energy consumption. The objectives of power control are extracting maximum power from PV sources and exporting power to the grid at unity power factor. While the objectives for supervisory control are local load demand control for exporting power at higher export prices. The proposed system is implemented using MATLAB/Simulink to validate the efficiency of power conversion, effectiveness of machine learning for energy estimation, and load relay control for optimal energy pricing. The results proved efficient tracking of maximum power, unity power factor at grid terminals, and load relay control for PV energy availability and export cost function.]]>
<![CDATA[Application of inverter input rating method and standard AC voltage drop/over method on automatic transfer switch for hybrid powered e-bike charging station ]]>
<![CDATA[Hidayat, Mohammad Noor]]>;
<![CDATA[Imammuddin, Azam Muzakhim]]>;
<![CDATA[Munir, Abdullah Faiq]]>;
<![CDATA[Nugroho, Aji]]>
<![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.pp2480-2492
<![CDATA[Automatic transfer switch (ATS) is useful for integrating two different energy sources can be applied to e-bike charging stations. Renewable energy sources from sunlight using 2×100 Wp photovoltaic (PV) modules as the main source in this study, as well as grid energy sources functioned as backup energy. This ATS uses inverter input rating methods and standard AC voltage drop/over, a novelty of this study. The amount of current during testing is up to 14.09 A. The value of the inverter input voltage affects the quality of the inverter output voltage, there is a stability of the inverter output voltage from the AC voltage standard ±5% of the, lowest voltage value of (Vo_inv) = 223.9 V and the highest value (Vo_inv) = 226.1 V, at the time of (Vi_inv) max = 14.15 V and (Vi_inv) min = 12.66 V. It can be concluded that the ATS works in the PV position of the supply to the e-bike load, in the PV state it can produce power of a maximum value of 135.9 W at 11:25 am and is at the lowest power of 31 W at 03:31 pm. This ATS device in the switch mode successfully implemented a duration range of 10-21 ms, during the transfer of energy.]]>
<![CDATA[Forecasting hourly short-term solar photovoltaic power using machine learning models ]]>
<![CDATA[Jogunuri, Sravankumar]]>;
<![CDATA[Josh, F. T.]]>;
<![CDATA[Joseph, J. Jency]]>;
<![CDATA[Meenal, R.]]>;
<![CDATA[Das, R. Mohan]]>;
<![CDATA[Kannadhasan, S.]]>
<![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.pp2553-2569
<![CDATA[Forecasting solar photovoltaic power ensures a stable and dependable power grid. Given its dependence on stochastic weather conditions, predicting solar photovoltaic power accurately demands applying intelligent and sophisticated techniques capable of handling its inherent nonlinearity and volatility. Controlling electrical energy sources is an important strategy for reaching this energy balance because grid operators often have no control over use patterns. Accurately forecasting photovoltaic (PV) power generation from highly integrated solar plants to the grid is essential for grid stability. This study aims to improve forecasting accuracy and make accurate predictions of solar power output from the selected grid-connected PV system. In this study, the weather data was collected on-site and recorded PV power from a 20 kW on-grid system for one year, and different machine learning techniques like deep neural networks, random forests, and artificial neural networks were evaluated and benchmarked against reference support vector regression model. With improvements in forecasting accuracy of 2 to 37% over the reference model at study location (22.780 N, 73.650 E), College of Agricultural Engineering and Technology, Anand Agricultural University, Godhra, India, simulation results showed that the random forest technique is effective for the forecasting horizons of 1 to 4 hours.]]>
<![CDATA[Design comparison of surface-mounted permanent magnet synchronous motors with inner and outer rotor configurations ]]>
<![CDATA[Huu, Hoang Bui]]>;
<![CDATA[Thanh, Bao Doan]]>;
<![CDATA[Chuyen, Tran Duc]]>;
<![CDATA[Quoc, Vuong Dang]]>
<![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.pp2105-2114
<![CDATA[The surface-mounted permanent magnet synchronous motor (SPMSM) is one of the electric machines applied widely in the fields of electric vehicles (EVs) and electrical drives due to their good characteristics such as high power density, lower mass, high efficiency, and lower torque. For the SPMSM, there are two types of SPMSM, i.e., the inner rotor SPMSM and the outer rotor SPMSM. To analyze and compute advantages and disadvantages, as well as to compare the performances of these two motor types, this research proposes an analytical model to design preliminarily the main/required parameters of the SPMSM with inner and outer rotor types. Subsequently, a finite element method is developed to simulate, analyze, and compare the electromagnetic parameters of the proposed motors. Via the developed methods, the obtained results will also indicate the performances of both types of motors. In particular, it will provide a good recommendation for choosing the SPMSM with an inner or outer rotor structure for traction applications.]]>
<![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.]]>
