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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
A methodology for performance evaluation and system loss analysis of photovoltaic power plants: case studies in Vietnam Truong, Le Phuong; Tri, Bui Van; Long, Le Phuong
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.pp2674-2684

Abstract

This study presents a methodology for performance evaluation and loss analysis of two photovoltaic (PV) power plants in Vietnam with different geographical locations and climatic conditions. An experimental methodology is utilized to analyze the system losses. Data was collected from the BIM2 (250 MWp) and Buon Ma Thuot (35 MWp) plants. The results show that system losses do not exceed 1.3%, with performance rates ranging from 73-79% for BIM2 and 74-88% for Buon Ma Thuot. Correlation analysis between module operating temperature, solar irradiance, and energy yield reveals an inverse relationship between the temperature-irradiance ratio and energy yield. A considerable decline in power plant efficiency is observed when this ratio exceeds 8. Additionally, vital monitored indices for PV plant operation are investigated, including energy supplied to the grid, PV array temperature, ambient temperature, and loss metrics.
Experimental validation of the design and control of a compressed air energy storage system Rais, Ilham; Ed-dahmani, Chafik; Benami, Abdellah
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.pp2214-2221

Abstract

In this paper, we introduce a comprehensive design and control strategy for an energy storage system based on compressed air to enhance both electrical energy quality and operational flexibility. The formulation of this control structure involved extensive calculations and computer simulations, which now require experimental validation. We describe the specifically designed test benches for this purpose and present an analysis of the experimental results. The paper begins with a brief overview of the didactic bench used to test the pure pneumatic conversion system, followed by the presentation and discussion of the initial practical results of the maximum energy point tracking (MEPT) strategy derived from this bench.
Output current ripple analysis of single phase inverter with discontinuous PWM Muqorobin, Anwar; Wijanarko, Sulistyo; Santosa, Harjono Priyo; Irawati, Indrarini Dyah
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.pp2253-2261

Abstract

Voltage source inverter has been applied for uninterruptible power supply (UPS), renewable energy sources, and motor drive. The popular modulations for inverters are sinusoidal pulse width modulation (SPWM), zero sequence signal modulation (ZSS), space vector modulation (SVM), and discontinuous PWM (DPWM). All these modulations have been applied to three-phase and multiphase inverters. The characteristics of the modulation application in these inverters have been well investigated. However, only SPWM has been applied satisfactorily in single-phase inverter. From the literature, the applications of ZSS and DPWM couldn’t show any benefit. In this paper, a DPWM is proposed for single-phase inverter. The output current ripple is analyzed and experiments are conducted to verify the analytical result. Comparison to SPWM is conducted to find the modulation index range that provides a benefit when using the DPWM.
Evaluation of the operational efficiency of 3 MWp photovoltaic power plant situated in the Sahara Desert of Algeria Chaib, Messaouda; Dahbi, Abdeldjalil; Benatiallah, Ali
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.pp2618-2630

Abstract

The primary aim of this study is to examine the behaviour of the photovoltaic plant installed in Kabertene, Algeria, under desert climate conditions. Simulations and modeling have been carried out for the photovoltaic cell, panel, and array under standard test conditions as well as a range of different operating conditions. Furthermore, the photovoltaic (PV) plant has been simulated using measured data, PVsyst, and MATLAB Simulink. The aim was to assess the solar energy potential within the examined geographic area and evaluate the performance of the PV plant. The performance of the obtained results was compared in different cases. The real results closely match those of PVsyst and MATLAB software when using real data and the real performance ratio, because it takes into consideration the cleanliness state of the PV panels. The results indicate that environmental factors, especially solar radiation and temperature, exert a considerable effect on the operational capacity of the PV system. This leads to variations in the electrical energy output and the performance ratio of the system. The total yearly energy injected into the grid was 5028.21625 MWh. The annual average daily PV system performance ratio is 67%. Finally, the research concludes that the area has substantial solar potential, encouraging the development of new PV plants.
Switching state vector selection for improved THD performance in multilevel current fed inverters Reddy, G. Prem Kumar; Mangu, Bhukya
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.pp2296-2307

Abstract

This paper aims to explore synthesis methods of three-phase multi- level current waveforms by utilizing a configuration of n parallel operating three-phase, three-level current-fed inverters (CFIs). It points out an issue where differences in the DC-link current between inverters cause a distorted space vector diagram and decreased switching state redundancy, this leads to generation of low frequency harmonics in the output current and increased total harmonic distortion (THD). The research suggests a method that chooses the best switching state vectors by considering their closeness to a reference current space vector. This approach aims to decrease switching losses and low-frequency harmonic content. This method improves the quality of the waveform and the efficiency of the inverter by closely matching the switching operations with the intended current path. An analytical model is created to investigate how changes in DC-link current impact inverter performance. Simulations and actual tests confirm the ef-ficacy of the proposed strategy in enhancing total harmonic distortion (THD) and waveform accuracy. The results provide valuable information on improving multilevel inverter designs to enhance power quality and operational efficiency, indicating potential areas for further research in power electronics.
Optimizing battery energy storage sizing in microgrids using manta ray foraging optimization algorithm Yatim, Yazhar; Tajuddin, Mohammad Faridun Naim; Sulaiman, Shahril Irwan; Azmi, Azralmukmin; Ayob, Shahrin Md; Sutikno, Tole
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.pp2535-2544

Abstract

The integration of renewable energy sources (RES) into microgrids (MGs) is becoming increasingly important as the world strives to transition towards more sustainable and eco-friendly energy systems. Unfortunately, integrating RES such as solar and wind power into MGs poses challenges due to their intermittent nature. The batteries need to be integrated into the MG system to overcome these challenges and ensure a stable and reliable power supply. However, the size of the battery presents another challenge as it affects the total operation cost of the MG system. Manta ray foraging optimization (MRFO) is used as an optimization technique to minimize the total operation cost of the MG system while ensuring optimum battery capacity. This algorithm is compared with the particle swarm optimization (PSO), differential evolution (DE), and the sine cosine algorithm (SCA). As a result, the proposed technique achieved a better solution than the existing algorithms.
Integrated electric vehicle design and simulation: Combining a mechanical and electrical model using Simscape/Multibody Jbari, Hatim; Askour, Rachid; Idrissi, Badr Bououlid
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.pp2037-2048

Abstract

This paper presents a novel methodology for modeling and implementing an electric vehicle (EV) simulation model using the Multibody approach. The proposed method provides a robust solution for studying EV performance, taking into consideration the dynamic behavior of its complex mechanical system. The mechanical design was carried out using SOLIDWORKS software and then exported to the Simscape/Multibody platform. This process was performed to combine the obtained mechanical design with an electrical model, developed using the Simscape and MATLAB/Simulink toolbox, in the same simulation platform. The proposed EV is powered by an electromechanical PowerDrive based on a permanent magnet synchronous machine (PMSM), supplied by a hybrid energy storage system (HESS). The implemented HESS, operating in a fully active topology, is controlled by a deterministic rule-based energy management system (EMS). To evaluate the proposed model performance, simulations were conducted under ECE-15.
Enhanced performance of electric vehicle Vienna rectifier through soft computing and sliding mode control Koodalsamy, Banumalar; Narayanasamy, Vanaja; Srinivasan, Muralidharan
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.pp2180-2189

Abstract

The Vienna rectifier (VR) is a component that plays a pivotal role in various power electronics domains. It finds extensive utility in applications that require increased efficiency and minimized harmonic distortion. Some examples of these applications include solar photovoltaic grid-tied inverters, renewable energy systems, and electric motor variable speed drives. However, the ever-evolving system characteristics have spawned problems with the dependability and efficiency of such systems, making them less than ideal in both respects. This research proposes a ground-breaking method by using a three-phase VR model that is enhanced with a modified whale optimization algorithm (MWOA)-infused sliding mode controller (SMC), which is then, incorporated smoothly using the MATLAB/Simulink platform. The efficiency of the proposed system is shown by the construction of a working prototype, which also contributes to this demonstration. The suggested paradigm's enhanced performance is proven numerically and qualitatively via detailed comparisons with present systems.
Enhancing power quality in solar-wind grid-connected systems through soft computing techniques Kathirvel, Jayashree; Sreenivasan, Pushpa; Mohammed, Soni; Sethi, Rabinarayan; Syamala, Maganti
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.pp2493-2500

Abstract

This work intends to improve estimates of solar and wind energy generation through the application of resilient backpropagation control and substantial power evolution strategy (SPES) algorithms. In comparison to particle swarm optimization and genetic algorithms, the main goal is to minimize predicting mistakes. These methods increase grid reliability by lowering total harmonic distortion (THD) and improving power quality when integrated with the IEEE-9 bus standard. In order to evaluate the hybrid system's transient and steady-state reactions, the study also highlights the importance of bolstering operation and control. A revolutionary deep learning-based approach is also suggested for predicting wind and solar hybrid energy. The power grid's efficiency and dependability in handling renewable energy sources have significantly improved, according to the results.
Fault diagnosis decentralized of manufacturing systems using Boolean models Slimane, Hireche; Habbab, Mohamed; Hazzab, Abdeldjebar; Moussaoui, Ahmed Khalil; Chandra, Ambrish; Gouabi, Hicham; Abdellah, Alhachemi Moulay
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.pp2700-2708

Abstract

This paper introduces an approach decentralized to fault detection and isolation (FDI) in manufacturing systems using a Boolean discrete event model. The method incorporates diverse information sources to create distinct models for plant systems and control. The objective is to enhance the understanding of process operations by employing various representation tools tailored to each information source. It is to reduce the number of explosion problems combinatorial and detect faults in the shortest possible time. This comprehensive representation facilitates the fulfillment of three crucial diagnosis functions: detection, localization, and identification. The approach involves Boolean modeling of each process actuator along with its corresponding sensors, a temporal model based on fuzzy expectations of event occurrences, and a set of if...then rules. The goal of this decentralized approach minimize both the complexity and the manual construction effort required for the model. The paper demonstrates the effectiveness of this approach through an illustrative example involving manufacturing systems.

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