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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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Boosting wind farm productivity: smart turbine placement with cutting-edge AI algorithms Abdelouahad, Bellat; Abderrahman, Mansouri; Mansouri, Khalifa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1903-1913

Abstract

Efficient wind farm development necessitates careful planning of wind turbine placement. The primary aim of this optimization process is to strategically position turbines to minimize the wake effect. The ongoing study seeks to standardize wake losses across all turbines in the wind farm through the adoption of a novel diagonal layout. To achieve this objective, an objective function has been devised and employed by a genetic algorithm, aiming to maximize the energy production of the farm while avoiding the concentration of wake on specific turbines. This methodology was applied to the Gasiri wind farm using simulation. The results of the optimization show great promise, indicating a potential energy increase of 17% following the implementation of the optimized layout. Furthermore, the study highlights that the new turbine placements, characterized by higher nominal power, are more favorably aligned forward, in accordance with the wind direction, compared to their original positions. Additionally, a substantial reduction in the mechanical fatigue of the turbine blades was noted.
Techno-economic study of a hybrid photovoltaic-diesel system for a remote area in southwest Algeria Touahri, Tahar; Berbaoui, Brahim; Aoun, Nouar; Laribi, Slimane; Maouedj, Rachid; Benmedjahed, Miloud
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp1167-1177

Abstract

Exploiting natural sun and wind resources in remote and isolated areas is undoubtedly an excellent decision to generate electrical energy due to their availability and cleanliness. Various systems were used to generate this energy, such as photovoltaics (PV), wind turbine sand other energy systems. Moreover, for optimum energy use, some of these systems are combined either with each other or with other conventional systems, such as diesel generators with PV systems (i.e., hybrid systems). This work aims to present a technical-economic study of PV/diesel autonomous hybrid systems to supply electrical power for an isolated house located in a hot desert climate, Adrar. For optimizing the hybrid systems, hourly input data of solar radiation and load were used according to two configurations, where the annual load is 11.2 kWh/day. The findings showed that the diesel system had a high cost, with a cost for energy of $0.407/kWh and a fuel price of $0.140/l. Among the hybrid power systems but with significant pollution, the proposed hybrid system 2 kw photovoltaic and diesel generator with 2.3 kW has important economic feasibility, where the energy cost amounted to $0.172/kWh. In addition, CO2 emissions are reduced by approximately 5 tons every year compared to an independent diesel generator system.
A bidirectional power converter connecting electric vehicle battery and DC microgrid Wijanarko, Sulistyo; Hasyim, Gifari Iswandi; Furqani, Jihad; Rizqiawan, Arwindra; Dahono, Pekik Argo; Muqorobin, Anwar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp978-992

Abstract

One way to increase electric vehicle (EV) battery utilization is to connect it to a dc microgrid. The EV battery can assume the role of an energy storage from the grid point of view. A bidirectional DC-DC converter will be needed to transfer power between them back and forth. This paper proposes the converter design considering its functional objective, including interleaved phase number determination. Efficiency performance evaluation is presented by power loss analysis with the parasitic-parameters consideration of the components. Finding optimum switching frequency based on power loss analysis is performed independently between input and output sides of the converter. Finally, experiments using a scaled-down prototype are shown to verify the analytical analysis of the converter. The experimental results properly validate the power loss analytic analysis carried out in this paper with a maximum error of 2.04% at 1131-watt, 60 V battery voltage, and 140 V grid voltage. Maximum efficiency 96.97% is obtained at 301-watt, 130 V battery voltage, and 151 V grid voltage. Overall, the converter has a simple structure, capable to be operated in various levels of input and output voltages with a minimum battery side current ripple.
DSP in the loop implementation of an improved sliding mode control for induction motor drive El Haissouf, Mohammed; El Haroussi, Mustapha; Ba-Razzouk, Abdellfattah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp53-63

Abstract

This paper deals with the design and processor in the loop implementation of an improved sliding mode control of three-phase induction motor. Studied control strategy uses a state-space model expressed in the rotor flux frame. Proposed control strategy is designed in two steps based in cascaded method. This controller is based on new smooth functions replacing sign functions to reduce chattering phenomenon. This work integrates also a calculation of controller parameters to ensure set response times. It focuses on the study of these proposed techniques and their effect on motor waveforms. For code generation of the control algorithm, implementation and validation by processor in the loop technique we have created a platform based on MATLAB/Simulink with code composer studio as integrated development environment and the development board LAUNCHXL-F28069M from Texas instruments. Obtained results show that the proposed strategy reduces chattering using a simple algorithm.
The optimization technique for a hybrid renewable energy system based on solar-hydrogen generation Shklyarskiy, Yaroslav; Skvortsov, Ivan; Sutikno, Tole; Manap, Mustafa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp639-650

Abstract

This paper provides an in-depth analysis of the challenges associated with the commonly used optimization methods for determining the configuration of hybrid renewable energy systems that rely on solar generation and hydrogen technologies. It highlights the key research directions in this field and includes a brief overview of the number of publications related to the subject. The standard topology employed in the implementation of these studied complexes is clearly defined and described. The paper also presents a comprehensive examination of various modern optimization methods and approaches employed to determine the optimal structure of these complexes. The paper thoroughly discusses the advantages and disadvantages of these methods, while also proposing future development directions that suggest specific adjustments to existing approaches. These adjustments aim to enhance decision-making efficiency and maximize economic benefits. Overall, the paper emphasizes the significance of research in renewable energy sources and hydrogen technologies, underlining their relevance and potential for sustainable energy solutions. In a concise manner, this paper addresses identified problems, highlights research directions, analyzes optimization methods, proposes improvements, and argues for the importance of this research field.
Experimental investigation of batteries thermal management system using water cooling and thermoelectric cooling techniques Panmuang, Piyapat; Photong, Chonlatee; Soemphol, Chaiyong
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp201-212

Abstract

The booming electric vehicle industry seeks fast charging solutions to address the safety risks posed by high-power charging, including thermal runaway and other safety issues. This study investigates the impact of combining liquid with thermoelectric cooling on battery thermal management. A series of experiments were conducted using various thermal batteries, liquid flow rates and batteries temperature thermoelectric. The experimental results compared air cooling (AC), water cooling (WC), and thermoelectric cooling (TEC) with different water flow (WF) rate in system and revealed that TEC with WF at 4.0 l/min was the best cooling system. This system can decrease the temperature by about 41-52% from the maximum temperature at discharge rates of 1.0, 1.5, 2.0, 2.5, and 3.0 °C. However, TEC with WF 1.0 and 2.0 l/min can effectively lower the temperature and reduce energy consumption compared to other cooling systems, while still maintaining the battery temperature within appropriate ranges.
Improved scalar control based on slip compensation from virtual speeds in three-phase induction motor drives Dinh, Bach Hoang; Tran, Cuong Dinh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1410-1416

Abstract

The typical scalar control method adjusts the speed based on changes in power frequency while maintaining a constant V/f ratio corresponding to the nominal flux. The disadvantage of the typical scalar method is that the motor operating speed is always less than the reference speed by a slip value. This research proposes an improved scalar control method based on slip compensation for speed control in the induction motor drive. A virtual speed according to the rotor flux-based model reference adaptive system (RF-MRAS) technique is applied to the current model to estimate the proper compensation of the rotor slip. The suitability of the control method is verified through comparative simulations between the typical and proposed methods under various operating conditions by the MATLAB/Simulink software.
The optimization of a GaN-based current aperture vertical electron transistor Hadjem, Dalila; Kourdi, Zakarya; Kerai, Salim
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp651-658

Abstract

The main objective of this paper is to simulate and optimize a current aperture vertical electron transistor (CAVET) based on gallium nitride (GaN), which combines both a two-dimensional electron gas (2DEG) and a vertical structure using the SILVACO-TCAD simulator. The dimensions of the structure were reduced by 45% to minimize the size and improve the performances of the proposed device; also, a part of aluminum nitride (AlN)was added to the current blocking layer (CBL) to modulate the conduction band profile. The results obtained from the simulation of our structure demonstrated a maximum drain current of 1.8 A/mm, Pinch-off voltage (VP) of -6 V, drain induced barrier lowering (DIBL) of 166 mV/V, maximum transconductance (gm) of 570 mS/mm, gate-leakage of 7.10-7 A, cut-off frequency (ft) of 200 GHz, maximum oscillation frequency (fMax) of 400 GHz. The proposed device exhibited outstanding performance while consuming low power, making it well-suited for use as a low-noise amplifier (LNA) in satellite reception applications.
Novel control of PV-wind-battery powered standalone power supply system based LSTM based ANN Hazarathaiah, Yerragolla; Reddy, B. Venkata Rami
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp1227-1234

Abstract

Integrated wind-photovoltaic (PV) based standalone electric power supply systems are widely used for various applications. A battery storage system is needed to provide continuous power supply to loads despite changes in loads, wind speed, and solar irradiance. Power quality is crucial in these hybrid systems, as the battery needs to charge from surplus power when generation exceeds the load and discharge to meet load demand. A bidirectional DC to DC converter is used to connect the battery to the network, and maximum power point tracking devices with proper algorithms are incorporated for optimal utilization of PV and wind turbines. Multiple PV systems and wind turbines are considered for proper power supply system ratings. Long short-term memory (LSTM) based artificial neural network (ANN) controllers are implemented for various control units in the hybrid standalone power system. The proposed control techniques improve power quality under various situations. Results are presented using MATLAB/Simulink to evaluate the performance of the proposed method.
Stirling engine multi-objective optimization using a genetic algorithm Taki, Oumaima; Rhazi, Kaoutar Senhaji; Mejdoub, Youssef
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp623-630

Abstract

With the growing demand of energy globally, the actual worrying state of the earth’s finite resources, namely fossil fuels, opens up the scope of energy researches to innovative and efficient solutions. Stirling engine has been an interesting subject of study since its invention, and many studies dealt with Stirling engine efficiency with attempts to optimize it in order to have a proper use of the engine in the real world, depending on the use cases. Stirling engine is an external combustion engine with a theoretical efficiency equivalent to that of Carnot. Alongside the global awareness to use efficient and less resource consuming solutions, there has been a spiking growth in the set of tools that are conceived to achieve that; specifically in the machine learning area. Among the various available algorithms, the one used in the hereby study is the non-sorted genetic algorithm II, which falls into the genetic algorithms category. This algorithm is well suited for multi-objective optimization problems; it consists of selecting the best design parameters that are contained in predefined upper and lower bounds, based on multiple objective functions.

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