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[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.]]>
<![CDATA[Improving efficiency of wireless charging system in electric vehicle using a hybrid ultracapacitor-battery energy storage approach ]]>
<![CDATA[Fang, Liew Hui]]>;
<![CDATA[Romli, Muhammad Izuan Fahmi]]>;
<![CDATA[Rahim, Rosemizi Abd]]>;
<![CDATA[Mukhtar, Nurhakimah Mohd]]>;
<![CDATA[Kimpol, Norhanisa]]>
<![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.pp2685-2699
<![CDATA[This research aims to enhance the efficiency of wireless charging systems in electric vehicles by integrating a hybrid ultracapacitor-battery energy storage solution. Traditional standalone battery-based energy storage systems in wireless charging often face sub-optimal charging efficiency, resulting in extended charging times and reduced energy transfer efficiency. To address this limitation, we propose a hybrid approach that combines the rapid charging capability of ultracapacitor (supercapacitor) with the long-term storage capacity of batteries. The optimal charging range is 0 cm to 2 cm, and the combined output voltage and current are 5 V to 12 V and 0.63 A, respectively. This hybrid energy storage system will significantly boost electric vehicles (EVs) charging efficiency. Our research involves experimental evaluation and data analysis to assess crucial parameters, including charging efficiency, energy transfer efficiency, and charging time. The experimental results are validated and compared against existing battery-only systems, shedding light on the advantages and limitations of the hybrid approach. This study contributes to the optimization of wireless charging systems, enhancing energy transfer efficiency, and promoting the broader adoption of wireless charging technology in electric vehicles.]]>
<![CDATA[Enhancing power quality: An Adaline algorithm for direct resonance current extraction in shunt active power filter ]]>
<![CDATA[Rahman, Nor Farahaida Abdul]]>;
<![CDATA[Zainuri, Muhammad Ammirrul Atiqi Mohd]]>;
<![CDATA[Hannoon, Naeem M. S.]]>;
<![CDATA[Hidayat, Muhamad Nabil]]>;
<![CDATA[Baharom, Rahimi]]>;
<![CDATA[Munim, Wan Noraishah Wan Abdul]]>
<![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.pp2470-2479
<![CDATA[This paper presents an adaptive linear neuron (Adaline) algorithm designed to extract resonance current from the supply current directly. It aims to reduce the computation burden while upholding efficacy in the extraction process. The approach involves establishing the primary power system, evaluating harmonic and resonance current impacts, formulating efficient extraction strategies based on current waveform characteristics, employing the Adaline algorithm for extraction, and constructing a single-phase shunt active power filter (SAPF) to address harmonic currents and parallel resonance effects. Comparative analysis demonstrates the Adaline algorithm’s precision in extracting current amplitudes pre- and post-SAPF implementation. However, observed disparities in extracted resonance current amplitude may stem from the algorithm’s limitations in capturing low-amplitude signals. While a gain adjustment effectively boosts amplitude. However, it introduces considerable ripple and inconsistency, likely linked to parallel resonance effects. Notably, the SAPF exhibits simultaneous harmonic compensation and resonance damping capabilities. Results affirm the SAPF’s effectiveness in reducing harmonic components across all frequencies, including resonance frequency. Furthermore, resonance damping is crucial for further improving SAPF performance and reducing resonance current. This results in significantly improved waveform quality and reduced total harmonic distortion (THD) and individual harmonic distortion (THDi) values of compensated supply current.]]>
<![CDATA[Self-adaptability parallel active filter to load variations study ]]>
<![CDATA[Derrouazin, Ahmed]]>;
<![CDATA[Moussa, Mohamed Ali]]>;
<![CDATA[Mokhtari, Bachir]]>
<![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.pp2435-2442
<![CDATA[Due to the increasing use of power electronics equipment, the quality of energy in the electrical network is deteriorating sharply. Indeed, this equipment consumes non-sinusoidal currents, even if they are powered by a sinusoidal voltage, and behaves like generators of harmonic currents. To "clean up" the network, there are several means, among them; the parallel active filter (PAF) which is the most used means because it has proven its effectiveness for the elimination of harmonics caused by a non-linear load. However, this PAF must prove its effectiveness constantly, because the unexpected variation of the loads supplied by the electrical network can call into question its effectiveness. The main objective of this work is to confirming that PAF is a permanent filter and adapts automatically and instantaneously to any load. For this, several simulation tests were carried out under MATLAB/Simulink. The results obtained are very satisfactory, as they confirmed the robustness and self-adaptability of the filter with respect to the sudden variation in loads, the tests carried out on the PAF also show us that the response of the filter is done almost in real time.]]>
<![CDATA[Performance analysis of fifteen level reduced device count asymmetrical multilevel inverter ]]>
<![CDATA[Manivel, Murugesan]]>;
<![CDATA[Palani, Lakshmanan]]>;
<![CDATA[Subramani, Sivaranjani]]>;
<![CDATA[Thiagarajan, Bharani Prakash]]>;
<![CDATA[Kannusamy, Divya]]>;
<![CDATA[Devasahayam, Jebakumar Immanuel]]>;
<![CDATA[Vijayalakshmi, V. J.]]>
<![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.pp2243-2252
<![CDATA[In this article, a fifteen-level reduced device count asymmetrical multilevel inverter is introduced for electric vehicle applications. This novel multilevel inverter topology minimizes the power switches required. Control of the proposed inverter is accomplished via the nearest-level control method. In a typical multilevel inverter, ten to twelve switches are used to create the fifteen levels. A high number of switches are used in traditional multilevel inverters, which increases the distortion from all harmonics, switching losses, cost, and cost per switch. Only nine switches are needed for the suggested architecture. It significantly minimizes the total harmonic distortion by 5% and lowers the switching losses, low-order harmonics, and complexity. The efficiency of the suggested multilevel inverter (MLI) is 98.35%.]]>
<![CDATA[Robust adaptive sliding mode control of a bidirectional DC-DC converter feeding a resistive and CPL based on PSO ]]>
<![CDATA[Cham, Julius Derghe]]>;
<![CDATA[Koffi, Francis Lénine Djanna]]>;
<![CDATA[Boum, Alexandre Teplaira]]>;
<![CDATA[Harrison, Ambe]]>
<![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.pp2397-2408
<![CDATA[A DC-DC converter functioning in bidirectional (two-way) mode is a crucial component of direct current (DC) microgrids since it allows electricity to flow in both directions. However, because of load changes and other factors, the DC-bus voltage might become unstable. This research proposes a robust adaptive controller for a half-bridge two-way DC-DC converter founded on particle swarm optimization (PSO). Using a DC-DC half-bridge bidirectional converter, the effectiveness of various conventional and proposed control techniques is investigated. In comparison to a conventional sliding mode controller (CSMC), it is found that a PSO-based sliding mode control with an adaptive law is the optimal control approach for a bidirectional half-bridge DC-DC converter. This is because minimal steady-state error and the shortest rising and settling times are guaranteed. The benefits of robustness, chattering reduction, and simple design are combined in the suggested controller, which is especially beneficial when dealing with load and input voltage changes. The controller ensures robustness and stability in the face of parameter changes. Numerical simulations conducted in a MATLAB-Simulink environment on a DC-DC half-bridge converter operating in bidirectional mode show the controller's improved performance over its existing counterpart.]]>
<![CDATA[Modelling and performance evaluation of PV controller in various reference frame ]]>
<![CDATA[Pushpa, K. R.]]>;
<![CDATA[Geetha, R. 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.pp2155-2167
<![CDATA[Many closed-loop automations of grid-connected and standalone inverters use controllers for various process control. The performance of the voltage source inverter (VSI) used in such applications depends on the characteristics of the controller. The gating pulses for the inverter are generated based on controller output and it affects the overall performance of the system. In this regard, the design and performance analysis of the controllers becomes an important integral part of any system under consideration. There are various methods available to design a controller. This paper discusses the design, modeling, and performance of a PI controller for single-phase VSI in stationary and rotating reference frames which helps in selecting a controller for the specific system configuration. The dynamic behavior of the controller with respect to the above reference frames and its effects on VSI output when subjected to load disturbance is evaluated. The controller design is carried out with two different current control strategies namely inductor current and capacitor current sensing. The stability of the system with the designed controller is analyzed and the results are compared.]]>
