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International Journal of Power Electronics and Drive Systems (IJPEDS)
Published by Institute of Advanced Engineering and Science
ISSN : -     EISSN : 20888694     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
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.
Arjuna Subject : -
Articles 65 Documents
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Search results for , issue "Vol 15, No 4: December 2024" : 65 Documents clear
Performance analysis of interlinking converter exchanging power between AC/DC renewable microgrids with advanced control technique Seeramshetti, Mamatha; Gaddam, Mallesham
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2344-2356

Abstract

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.
The LLCL filter-based synchronverter with adaptive fuzzy logic controller Tran, Tan Thien; Phan, Quoc Dung; Nguyen, Bao Anh; Yew, Weng Kean
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2115-2127

Abstract

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.
Overview: Model predictive control techniques for controlling induction motor based on vector control Alakkad, Moataz M.A.; Talib, Md. Hairul Nizam; Rasin, Zulhani; Mat Lazi, Jurifa; Md. Jamal, Muhammad Haziq; Mat Isa, Zainuddin
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2049-2057

Abstract

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.
Active balancing charging using ANFIS to reach longest lifetime for lithium ion Murdianto, Farid Dwi; Sudiharto, Indhana; Andraeni, Azzahra Farah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2168-2179

Abstract

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.
A comprehensive evaluation of machine learning algorithms for precise energy consumption forecasting in smart homes Maguluri, Lakshmana Phaneendra; Shankar, M.; Aruna, R.; Devi, D. Chitra; Suganya, M. J.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2138-2144

Abstract

Energy is one of the most critical and costly resources, playing a vital role in our daily lives. As technology advances, the demand for energy also increases. This work proposes a model for predicting energy consumption in smart homes, consisting of data preprocessing, performance evaluation, and application. Once the data is processed, it is fed into the prediction module, where various machine-learning algorithms are applied to forecast energy consumption. As smart home environments grow in complexity, selecting the most effective machine learning algorithm becomes increasingly crucial. The persistent challenge lies in manually discerning the best-performing algorithm, given their potential variance in efficacy across diverse use cases or datasets. In the dynamic landscape of energy conservation and cost-effective power generation, precise forecasting of energy consumption is essential, playing a pivotal role in advancing energy sustainability and bolstering economic stability. This introduction explores the intricate terrain of predicting energy utilization within smart homes, a domain that has seen increased interest due to the integration of machine learning algorithms. The primary focus of this exploration is the rigorous evaluation of these algorithms, using key performance metrics such as mean absolute error (MAE), mean squared error (MSE), and R-squared.
Power quality improvement using PV fed series active power filter with enhanced Jaya optimized PI controller Mallajoshula, Ravikanth; Naidu, I. E. S.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2199-2213

Abstract

In this paper, improvement of power quality (PQ) in a distribution system using a PV-series active power filter (PV-SAPF) investigated. The performance of the proposed filter is increased using an enhanced Jaya optimized proportional integral (PI) with indirect current controller (ICC) technique system. In existing Jaya optimization technique best and worst cases were obtained from the whole solutions which degrades the output of the PI controller results more iteration. In case of enhanced Jaya, the proposed one, population from best to worst is shorted first and divide them as two groups best and worst solutions. The best solution is chosen from the best solution group as “Best,” and the best solution from the worst solution group is chosen as “Worst”. This procedure decreases the number of iterations needed to reach the optimal solution. The effectiveness of the enhanced Jaya optimization and ICC developed controller is implemented in the proposed PV-SAPF. To proof its effectiveness different types of loads are taken as case study. MATLAB/Simulink platform is used to do the above research work.
Performance analysis of field oriented controlled PMSM based electric truck Achary, Sanskruti; Chaudhari, Rutul; Chauhan, Siddharthsingh K.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2027-2036

Abstract

The electric vehicle (EV) concept is considered the ideal solution to save the environment from pollution occurring due to internal combustion engines or ICE-based vehicles. However, electric power trains have found more penetration in the segment of passenger vehicles and electric buses. This paper presents the performance of an electric truck. Field-oriented controlled permanent magnet synchronous motor (PMSM) is used for the powertrain of the proposed electric truck. The performance of the proposed electric truck is analyzed for propulsion as well as regenerative mode of operation using MATLAB. The effect of different gradient conditions of the road surface on the behavior of the proposed truck is observed. The presented simulation results depict the satisfactory operation of the proposed PMSM-driven electric truck for various operating conditions.
Low-voltage DC-DC off-grid PV system: various irradiance studies Razi, A.; Shukor, Syahar Azalia Ab; Lee, Wei Wen; Hidayat, M. Nabil
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2651-2659

Abstract

The off-grid photovoltaic (OGPV) system, also referred to as a stand-alone power system, generates electricity from solar energy independently of the main electricity grid. However, photovoltaic (PV) modules face limitations in consistently providing the necessary voltage. Thus, a DC-DC converter is employed to adjust the voltage to match the requirements of the load. This paper proposes a detailed analysis of irradiance patterns resembling in-lab and real-world conditions to address the challenge of selecting the optimal DC-DC OGPV system capable of functioning effectively under standard test condition (STC) and dynamic test condition (DTC), respectively. Three proposed irradiance analyses, tailored to different environmental scenarios, aim to identify output performances for DC-DC OGPV system which are aligning with standards set by the International Electrotechnical Commission (IEC) 61727. The DC-DC OGPV system is simulated using MATLAB Simulink. Furthermore, comparative studies involving different PV module types and several switching techniques (pulse generator and maximum power point tracking or MPPT implementations), where findings are instrumental in advancing the development and projection planning for medium to high-voltage OGPV systems, contributing to the global initiative for accessible and sustainable energy solutions aligned with sustainable development goal (SDG 7).
Nonlinear robust control applied to the six-phase induction machine Ahmed, Yarba; Oumar, Aichetoune; Cherkaoui, Mohamed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2089-2096

Abstract

This paper proposes a nonlinear robust control for the six-phase induction machine (SPIM). It is based on the super twisting sliding mode (STSM) to ensure good decoupling and robust performance. This paper proposes also a comparative study between STSM and active disturbance rejection control (ADRC). We apply the rotor field-oriented control to ensure the decoupling between the magnitudes of the SPIM. Then we study the STSM control to regulate the rotor speed, the stator currents, and the rotor flux of the machine. The STSM ensures the same performance as the classical sliding mode control with the advantage of reducing the phenomenon of chattering. At the same time, the STSM command is compared to the ADRC command. The ADRC is one of the robust commands that makes it possible to estimate and eliminate internal or external disturbances. To test the robustness of the STSM and the ADRC, we implanted them in Simulink/MATLAB and the simulation results show the effectiveness of the STSM control compared to the ADRC control.
A new hybrid LED driver Sagi, Orazbayev; Erlan, Dzhunusbekov
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2367-2375

Abstract

The ongoing challenge in light-emitting diode (LED) lighting is to integrate power and control circuits into a single chip to reduce the number and cost of components, minimize size, and enhance reliability. This integration requires a reduction in power dissipation on the chip, improved efficiency, and smaller magnetic components. Recently, hybrid LED drivers have been proposed to address this integration challenge. Unlike traditional transformerless single-stage LED drivers, which implement boost or buck topologies, hybrid drivers reduce pulsed voltage on power semiconductors. The proposed hybrid LED driver aims to prevent power switches from hard switching, which in turn reduces metal–oxide semiconductor field-effect transistor or MOSFETs' overheating in the integrated circuit body, increases the reliability of the chip, and alleviates electromagnetic interference or EMI issues. The proposed improvement to the hybrid driver is analyzed. The control method was suggested. Computer modelling was provided to confirm the feasibility, controllability and resulting advantages of the proposal. The proposed hybrid LED driver is attractive for circuit integration to reduce size and cost compared to the achievements of previous art.

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