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[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.]]>
<![CDATA[Performance analysis of interlinking converter exchanging power between AC/DC renewable microgrids with advanced control technique ]]>
<![CDATA[Seeramshetti, Mamatha]]>;
<![CDATA[Gaddam, Mallesham]]>
<![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.pp2344-2356
<![CDATA[In a distribution system there are many types of AC/DC microgrids integrated at different locations. These microgrids may contain conventional or renewable sources which generate power using natural resources. The power generated by these microgrid sources is uncertain as the natural resources are unpredictable. Therefore, powers from these AC/DC micro grids need to be shared so as to compensate the load demand throughout the distribution system. An interlinking converter (ILC) is connected between the AC/DC microgrids operated by a novel advanced PQ control technique. Both the DC and AC microgrids are interconnected through ILC achieving power exchange between them as per the power demand and generation on both microgrids. Different operating conditions are considered for the analysis and the simulation of these modules are done using MALTAB/Simulink software. Several parameters like DC link voltage, ILC currents, point of common coupling (PCC) frequency, total harmonic distortions (THDs) and active power values are considered for validating the stability of the considered system.]]>
<![CDATA[The LLCL filter-based synchronverter with adaptive fuzzy logic controller ]]>
<![CDATA[Tran, Tan Thien]]>;
<![CDATA[Phan, Quoc Dung]]>;
<![CDATA[Nguyen, Bao Anh]]>;
<![CDATA[Yew, Weng Kean]]>
<![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.pp2115-2127
<![CDATA[Global warming has emerged as a significant issue, primarily due to the use of fossil fuels for power generation. Renewable energy adoption has surged. However, stability issues arise when integrating the primary source and inertia-less nature of converter-interfaced renewable energy sources (RESs) into the traditional power system, due to its intermittent and uncertain nature. The proposed solution involves controlling converter-interfaced RES to emulate the characteristics of a conventional synchronous generator (SG), commonly known as a virtual synchronous generator or synchronverter. As it fundamentally functions as a power converter, it is crucial to consider the appropriate filter design for the synchronverter. Additionally, by emulating the characteristics of SG, the values of “virtual” inertia and droop coefficients must be chosen accurately to provide a robust response under different operating scenarios of the synchronverter. Hence, this paper proposes a novel LLCL filter-based synchronverter system along with an adaptive control strategy using a fuzzy logic controller (FLC). The system is simulated under different operating scenarios in MATLAB/Simulink. The proposed system demonstrated improved frequency response and reduced total harmonic distortion compared to the conventional synchronverter model for all the different operating scenarios, thus enhancing grid stability and power quality.]]>
<![CDATA[Overview: Model predictive control techniques for controlling induction motor based on vector control ]]>
<![CDATA[Alakkad, Moataz M.A.]]>;
<![CDATA[Talib, Md. Hairul Nizam]]>;
<![CDATA[Rasin, Zulhani]]>;
<![CDATA[Mat Lazi, Jurifa]]>;
<![CDATA[Md. Jamal, Muhammad Haziq]]>;
<![CDATA[Mat Isa, Zainuddin]]>
<![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.pp2049-2057
<![CDATA[This paper presents a comprehensive review of electric induction motor (IM) drive systems. It conducts an evaluation and critical analysis of modern control techniques aimed at enhancing induction motors or IM drive performance, drawing insights from a systematic literature survey. This review paper introduces the mathematical and dynamic models of induction motors and control via two-level inverter drives. Furthermore, the paper offers an extensive review of model predictive control (MPC) for induction motors which is considered a vector control (VC) technique. The MPC are subdivision based on control parameters into two modes, model predictive current control (MPCC) and model predictive torque control (MPTC). The paper thoroughly examines each control technique, providing insights into mathematical control analysis, block diagrams, and operational mechanisms, as well as the advantages and disadvantages associated with the method. The model predictive control (MPC) stands out due to its distinct advantages, particularly in terms of simplicity, accuracy, and efficiency.]]>
<![CDATA[Active balancing charging using ANFIS to reach longest lifetime for lithium ion ]]>
<![CDATA[Murdianto, Farid Dwi]]>;
<![CDATA[Sudiharto, Indhana]]>;
<![CDATA[Andraeni, Azzahra Farah]]>
<![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.pp2168-2179
<![CDATA[This research aims to address challenges in efficient energy storage in electric vehicles, particularly those using lithium-ion batteries. The research focuses on voltage imbalances in battery packs with cells connected in series, which can reduce the battery pack's lifespan. We investigated active balancing charging methods using bidirectional fly-back converters in both pack-to-cell and cell-to-pack modes. Current charging methods face limitations such as prolonged balancing times, circuit complexity, and low efficiency. To overcome these challenges, this research proposes integrating an artificial intelligence approach using adaptive neuro-fuzzy inference system (ANFIS) control. This approach allows for dynamic adjustment of duty cycles, expediting the balancing process. Experimental results show that employing ANFIS control can significantly reduce balancing times. In pack-to-cell mode, balancing time decreased from 660 seconds to 600 seconds, while in cell-to-pack mode, it decreased from 660 seconds to 580 seconds. This research makes a significant contribution to the development of more efficient charging technology for lithium-ion batteries in electric vehicles. Its potential implications include improved battery lifespan and electric vehicle performance in the future.]]>
