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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 2,660 Documents
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Analysis of lithium-ion indirect liquid cooling battery thermal management system with high discharge rate Nizam, Muhammad; Putra, Mufti Reza Aulia
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1414-1420

Abstract

Electric vehicles are developing rapidly and require technological support. Electric vehicles require good power storage. One of the reasonable parameters of a battery pack is its high discharge capability. A high discharge rate requires suitable cell and heat management capabilities in the battery pack. When discharging, it produces heat energy and needs to be released. The battery thermal management system (BTMS) is a method used to maintain battery heat. BTMS using liquid has a better performance compared to phase-change memory (PCM) and air cooling. The use of liquid coolers still has limitations. Namely, the weight of the cooling system is quite large because of a large amount of liquid which increases the weight of the battery. This study offers the potential to use mini channels mounted on cooling plates for application as BTMS. This research used the finite element method (FEM) process by simulating the process of fluid flow that occurs when the battery is used at various C rates. The results of this study indicate that the type of BTMS can keep the battery hot at working temperatures below 40 ºC.
Determination of performance characteristics using FEA-analytical for outer rotor BLDC motor Kamaroszaman, Saharudin; Othman, Raja Nor Firdaus Kashfi Raja; Karim, Kasrul Abdul; Ahmad, Suhairi Rizuan Che; Tashiro, Kunihisa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2010-2020

Abstract

This paper presents an analytical approach to determine the performance characteristics of an outer rotor Brushless DC (BLDC) motor using finite element analysis (FEA). An accurate performance characteristic is a crucial deliverable during the early motor design process in order to minimize the cost of change while delivering a feasible design to the application. There are several popular methods to determine motor performance, including template-based software as well as FEA. However, these two methods have limitations in terms of geometry and time. Therefore, this paper proposes that the limitations can be addressed by using a combination of FEA and mathematical equations. First, the optimum motor design is determined using an FEA analytical approach. Second, the torque constant KT, is derived from the FEA results and followed by performance curve generation using the mathematical equation of speed, current, and output power in terms of torque function. Finally, the outcome results are verified against the motor requirements, including an assessment of maximum speed, stall current, and maximum output power. In conclusion, this research introduces a methodology for determining full curve motor performance prior to prototype fabrication. The leverage benefit could be gained through robust design and low-cost development.
Parameter identification of the photovoltaic panel’s two-diode model Madi, Saida; Saoudi, Kamel
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2354-2361

Abstract

This work deals with the two-diode model of a photovoltaic (PV) panel. It provides the per-unit energy and current representations in addition to identifying its unknown parameters. Mathematical equations have been proposed and built using the MATLAB/Simulink simulator to achieve this goal. Only one variable has been adjusted to get all the unknown parameters simultaneously at standard test conditions (STC). Three variables have to be adjusted under any other atmospheric conditions. Two different technologies have been used. The accuracy of the proposed mathematical model has been provided using the absolute relative error between the simulated value and the measured one. The biggest values of the absolute relative error are 0.000788%, 0.0006157%, and 0.000616% under STC, nominal cell temperature condition (NOCT), and random daily atmospheric conditions, respectively.
A novel method of overvoltage suppression due to de-energization of shunt reactor in high voltage system Al-Tak, Mazyed A.; Ain, Mohd Fadzil Bin; Al-Yozbaky, Omar Sh.; Jamil, Mohamad Kamarol Mohd
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2134-2147

Abstract

Substations usually employ shunt reactors to reduce the reactive power of systems. Due to current chopping when the shunt reactor is shut off, a high frequency and amplitude overvoltage is generated. This study was aimed at eliminating switching-related overvoltages in shunt reactors so as to maintain the equipment, prevent insulation failure, and avoid reignition. Therefore, the circuit was modified according to the suggested mitigation strategy to verify that transient overvoltages are suppressed by the circuit breaker and shunt reactor. With a view to evaluate the existing chopping caused by the switching of reactor bank, the alternative transients program (ATP-Draw) model was used to simulate the transients resulting from switching a shunt reactor. This work has been put into practice for various current chopping values. The collected results of the simulation showed that the proposed model was significantly highlighted for the suppression of overvoltages, with the voltage across the circuit breaker being reduced from 679 KV to 478 KV at a current chopping value of 5 A and from 351 KV to 152 KV across the shunt reactor.
Metaheuristics-based maximum power point tracking for PV systems: a review Jamhari, Muhammad Khairul Azman Mohd; Hashim, Norazlan; Othman, Muhammad Murtadha; Abidin, Ahmad Farid Bin
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2495-2513

Abstract

Over the years, numerous maximum power point tracking (MPPT) methods have been developed to extract the maximum available power from PV arrays. They are generally categorized as conventional or metaheuristic methods. The most employed conventional methods include perturb and observe (P&O), hill climbing (HC), and incremental conductance (INC), due to their simplicity and ease of implementation. However, under partial shading condition (PSC), none of them can effectively locate a global maximum power point (GMPP) out of many local maximum power points (LMPPs). This results in significant power loss during PSC, prompting the development of various metaheuristic-based MPPT methods to address the problem. This paper reviews 38 existing metaheuristic-based MPPTs and 27 metaheuristic methods that have not yet been applied to any MPPT operation up to date. Metaphorically, these methods are divided into four categories: (i) evolutionary-based, (ii) physics-based, (iii) swarm-based, and (iv) human-based. The different MPPTs are compared in terms of complexity, converter topology, and PSC tracking capability. This paper is intended to serve as a one-stop resource for any researcher, practitioner, or advanced student seeking to develop a new metaheuristic-based MPPT method.
Hybrid quadratic DC-DC boost converter for fuel cell-powered electric vehicle with wide voltage gain and low voltage stress Dinakaran, K. P.; Jebaselvi, G. D. Anbarasi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2230-2239

Abstract

The need to cut carbon emissions and the worry about global warming will be two of the major issues of the twenty-first century. Globally, academics are researching renewable energy sources, with the majority of their efforts focused on the converter side, which is critical to contemporary society. For energy conversion, fuel cells provide an alternative to internal combustion engines. Despite the fact that typical DC-to-DC converters experience high stress and minimal voltage rise, the bulk of research focuses on voltage lift. Researchers from all around the globe use DC-DC converters to control the voltage of fuel cells. If the targets are fulfilled, more switches will be placed, resulting in higher losses. The boost-cuk converter in this research has a high voltage gain and low switching strain. Initially, this contributed to the development of self-control. Switching losses are reduced when just one switch is used. A DC-DC converter is employed in this research to transform the electricity provided by fuel cells. The alternating supply is then sent to the brushless direct current (BLDC) motor by the PWM inverter. The work starts by building MATLAB simulation blocks. Finally, Simulink is used to display the simulated output waveforms of the intended converter.
Optimized fuzzy PI controller for variable speed wind turbine using DE algorithm Khaddouj Ben Meziane; Faiza Dib; Nabil Benaya; Ismail Boumhidi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1684-1693

Abstract

To design an optimal fuzzy proportional-integral (PI) controller for the variable speed wind turbine systems, a new differential evolution (DE) algorithm approach is developed in this paper. We have investigated a fuzzy PI controller, in which fuzzy rules are applied to adapt the parameters of the PI controller founded on the error and its first-time derivative. The fuzzy PI controller's inputs and outputs are tuned using the DE optimization method. The superiority of the suggested (DE fuzzy PI) controller has been proved by comparing the results with (fuzzy PI) and only the PI controller applied to the wind turbine system. In comparison to a fuzzy controller with parameters selected by a human operator, the numerical validation results of the suggested approach (DE fuzzy PI) have shown good performance in terms of robustness, pursuit, and response time.
ANFIS based sliding mode control of a DFIG wind turbine excited by an indirect matrix converter Ahmad Khajeh; Hamed Torabi; Zahra Shabani Siahkaldeh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1739-1747

Abstract

Doubly fed induction generator (DFIG) is very popular in commercial turbines installed worldwide. Indirect matrix converter (IMC) is a fully silicon-based converter without capacitor that could be used in wind turbines. In this paper a robust ANFIS based second order sliding mode controller is proposed to control the DFIG wind turbine excited by IMC converter. ANFIS is a combination of fuzzy logic control and artificial neural networks. This hybrid combination could decrease the complexity of the wind turbine system. This scheme does not need the exact mathematical model of the system as needed in classical control methods. The effectiveness of the proposed controller is verified by simulation results compared to the classical PI controller.
Implementation smart charging technique using particle swarm optimization to achieve best performance charger Indhana Sudiharto; Farid Dwi Murdianto; Lavia Isnani
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1604-1614

Abstract

These days, there are an increasing number of electronic devices that use batteries as their energy source, often known as portable electronic devices. However, the battery may run out of energy and a recharging process is required to keep the electronic device functional. A charger that is in accordance with the battery specifications is required to complete the charging process. Incompatible chargers can overcharge batteries and shorten their lifetime. Since there are many different types of electronic devices, many different chargers are required, especially since most chargers on the market are static and can only be used with one kind of electronic device. This will increase the costs that customers must pay, especially those who have many types of electronic devices. As a result, this research will create a smart charger using the PSO algorithm that can be used to complete the charging process on all types of portable electronic devices. To test smart chargers, five different battery types from electronic devices with different specifications are used. From the test result, the smart charger can charge five different types of battery loads with various specifications with 100% accuracy at a speed that takes 50.4 seconds to reach a steady state.
A painstaking analysis of various conventional and AI based MPPT approaches to the PV framework Rout, Kishrod Kumar; Mishra, Debani Prasad; Mishra, Sivkumar; Salkuti, Surender Reddy
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2338-2346

Abstract

Electricity is the best technological advancement ever. Power is now used for everything in our culture because of how far it has come. Quiddity of life would not be possible without it. We know that the sole free hotspot for the PV module in our environmental factors is the sun. The PV cell changes sun-powered energy into electrical energy when the sun radiates on it. At the point when you produce power with the sunlight-based chargers, no ozone-harming substance emanations are placed into the climate. Since, the sun creates more energy than any manmade process at any point requires so as a result, in this article we will look at a variety of ways as well as a successful MPP strategy with high efficacy. It encompasses incremental conductance, perturbs & observe, and fuzzy logic approaches. A boost (DC-DC) converter ameliorates the likeness between a solar array and storage or power grid. In many solar-producing systems, DC/DC converters assist in surveilling the utmost power point by acting as a bridge betwixt load and solar panel. The intent of achieving the highest possible electricity can be done by calibrating the load to compare the current and voltage of a photovoltaic cell.

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