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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 61 Documents
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Search results for , issue "Vol 13, No 2: June 2022" : 61 Documents clear
Realization of an dimmable electronic ballast for a discharge lamps fed by an LSCSCP circuit and a PFC stage Marref Mohammed Amine; Hamdaoui Habib; Seyf Eddine Bechekir
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp643-656

Abstract

This paper presents an electronic ballast for discharge lamps. The ballast consists of two stages: i) a boost-buck chopper that performs the power factor correction and provides an approximately variable DC link voltage to drive the second stage and ii) a half-bridge MOSFET inverter with an improved series-parallel inductor-capacitor-inductor (LsCpLp) resonant circuit to drive the high-frequency discharge lamp. The electronic ballast designed here is a multi-purpose ballast which was experimentally tested for high-pressure sodium discharge lamps 150 W and metal halide lamps 150 W. It was revealed that this mode of operation makes it possible to vary and dim the light of the lamp and to improve the quality of the power supply while reducing the harmonic currents in networks.
Comparison between matrix and back-to-back converter in flywheel energy storage systems Nguyen Hung Do; Sy Manh Ho; Quoc Tuan Le; Tung Hoang; Trong Minh Tran; Phuong Vu
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp744-754

Abstract

Flywheel energy storage systems (FESS) are considered as the grid integration of renewable energy sources due to their buit-in advantages such as fast response, long cycle life and flexibility in providing auxiliary services to the grid, such as frequency regulation, and voltage support. This paper introduces the structure and comparison results of matrix converter and back-to-back converter which integrated with axial flux permanent magnet motor (AFPM) in FESS. Two converters are functionally equivalent in terms of input power quality and energy regeneration capabilities but need to be compared in terms of performance testing with speed response. In this paper, the research results have been verified that matrix converters perform more effective than back-to-back converters.
Joule heating estimation of photovoltaic module through cells temperature measurement Erkata Yandri; Naoto Hagino
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp1119-1128

Abstract

Module temperature has a role in determining a PV module's performance. The purpose of this paper is to estimate the Joule heating in a photovoltaic (PV) module by comparing during PV-On (electricity generation) and PV-Off (without electricity generation). Joule heating was less evaluated due to simplifying formulation, which is easier to implement in experimental observation as proposed in this work. The experiment collected the temperature distributions of the PV module during PV-On and PV-Off. PV module temperature distribution follows the normal distribution curve as the irradiation uniformity pattern of the solar simulator has a slight ≤0.3 oC difference between PV-On and PV-Off. Joule heating slightly increased the PV module temperature by 0.53 K/A, proportional to the irradiances. Joule heating has increased almost seven times from 2.65 W at 700 W/m2 to 18.07 W at 1000 W/m2. Joule heating might slightly increase the overall thermal conductivity and slightly decrease the thermal resistances. It might affect the heat transfer. This research may improve the procedures prediction of PV or photovoltaic-thermal (PVT) collector temperature by considering Joule heating.
Non-parametric induction motor rotor flux estimator based on feed-forward neural network Siti Nursyuhada Mahsahirun; Nik Rumzi Nik Idris; Zulkifli Md. Yusof; Tole Sutikno
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp1229-1237

Abstract

The conventional induction motor rotor flux observer based on current model and voltage model are sensitive to parameter uncertainties. In this paper, a non-parametric induction motor rotor flux estimator based on feed-forward neural network is proposed. This estimator is operating without motor parameters and therefore it is independent from parameter uncertainties. The model is trained using Levenberg-Marquardt algorithm offline. All the data collection, training and testing process are fully performed in MATLAB/Simulink environment. A forced iteration of 1,000-epochs is imposed in the training process. There are overall 603,968 datasets are used in this modeling process. This four-input two-output neural network model is capable of providing rotor flux estimation for field-oriented control systems with 3.41e-9 mse and elapsed 28 minutes 49 seconds training time consumption. This proposed model is tested with reference speed step response and parameters uncertainties. The result indicates that the proposed estimator improves voltage model and current model rotor flux observers for parameters uncertainties.
Performance analysis of single-phase interior permanent magnet synchronous motor Benjamin Olabisi Akinloye; Emeka Simon Obe
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp812-824

Abstract

Single-phase permanent magnet synchronous motor has been tipped as an alternative to single-phase induction motor due to its high efficiency and torque density. Consequently, a proper performance analysis of the motor is required to cope with the stator imbalance in order to prevent pulsation in the torque performance. This paper presented the dynamic and steady-state analysis of a single-phase interior permanent magnet synchronous motor. In this analysis, a proper combination of direct-quadrature (d-q) reference frame, and symmetrical component analyses were used. The symmetrical components analysis was used to obtain the steady state performance while the dynamic performance was obtained from d-q analysis. The symmetrical components cope with the imbalance and hence the resulting torque pulsation which may results in heating of the motor. The results obtained agreed with the theoretical analysis and yielded a unique steady state equivalent circuit and phasor diagram. The models of the motor were simulated using MATLAB/Simulink. A prototype of the motor was developed and experimentation was carried out to validate the dynamic performance.
A long short-term memory based prediction model for transformer fault diagnosis using dissolved gas analysis with digital twin technology Gadepalli Srirama Sarma; Bumanapalli Ravindranath Reddy; Pradeep Nirgude; Pudi Vasudeva Naidu
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp1266-1276

Abstract

The most significant tool for defect diagnostics in transformers is dissolved gas analysis (DGA). The time series prediction of dissolved gas levels in oil, when combined with dissolved gas analysis, provides a foundation for transformer fault diagnosis and an early warning. A long short-term memory (LSTM) based prediction model is developed in this paper to train the digital twin for identifying the essential fault in the transformer via DGA. The model is fed with three different gas concentrations as input. This study achieves the performance evaluation in terms of validation accuracy. The suggested model exhibits significant validation accuracy of 99.83%, as indicated by the analyses, thus the early prediction of transformer maintenance is aided. It can be validated that the LSTM model for fault identification and analysis using dissolved gas in the transformer has a lot of research potential.
Modified full bridge dual inductive coupling resonant converter for electric vehicle battery charging applications Kondreddy Sreekanth Reddy; Sreenivasappa Bhupasandra Veeranna
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp773-782

Abstract

In this paper, a modified full bridge dual inductive coupling (LCL) resonant converter for electric vehicles (EVs) battery charging applications is proposed. The main objective of the proposed topology is to operate the converter in constant voltage (CV) and constant current (CC) mode during battery charging. The presented topology's uniqueness comprises the following: i) isolated charging and power factor correction (PFC), ii) to achieve zero-voltage switching (ZVS) and zero-current switching (ZCS) for inverter switches, iii) reduction of number of rectifier diodes to reduce the conduction and switching losses, and iv) reducing the magnetizing current. The output voltage dependence of resonant converter is reduced using a PFC converter against the variations of the alternating current (AC) grid input voltage. The variations of the wide range output voltage and load is compensated by a small variation in switching frequency. The proposed topology's detailed operation is simulated using the MATLAB/Simulink tool.
Particle swarm optimization based high performance four switch BLDC motor drive Yaser Anagreh; Moath Bani Fayyad; Aysha Anagreh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp825-834

Abstract

The present publication is directed to utilize particle swarm optimization (PSO) algorithm based PI controller for adjusting the speed of brushless DC motor fed via four switch three phase inverter. The inverter topology reduces the cost and complexity of the drive system. High performance response during transient and steady state conditions is achieved by optimizing the controller gains using POS algorithm. The obtained results confirm the validity of the proposed drive configuration in providing the features of fast dynamic response (the settling time is about 0.025 s), with minimized percentage overshot, and approximately zero steady state error. Moreover, the drive system shows robustness feature when subjected to external load torque disturbances.
Attenuation of voltage sags effects and dynamic performance improvement of a multi-motor system Bensaid Mounir; Abdellfattah Ba-Razzouk; Mustapha Elharoussi; Bouchaib Rached
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp705-715

Abstract

In many continuous manufacturing processes such as paper, textile, winding and plastic extrusion, electric drives are frequently required to work in synchronization, often with high tolerances to ensure uniform product quality and avoid failure of the product. In a multi-motor system (MMS), voltage dips are the most common cause of the motor stoppage, and the transient loss of synchronism between motors can result in a complete system shutdown. This paper proposes a multi-motor system controlled by a Backstepping strategy to ensure servo-control and synchronization of induction motors. This technique includes indirect rotor field-oriented control (IRFOC), linear speed control, and mechanical tension control, of induction motors. Investigations of symmetrical voltage sag effects on speed, torque, and mechanical tension are also carried out. Simulation results obtained using Matlab®/SimulinkTM/SimPowerSystems® are presented to demonstrate the efficiency of the proposed control strategy.
Conducted emission study in space vector modulated voltage source inverter Uma Maheswari Yuvaraj; Amudha Alagarsamy; Ashok Kumar Loganathan; Selvathai Thavassy
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp988-997

Abstract

To comply with electromagnetic interference (EMI) standards, the electromagnetic noise generated by power electronic converters must be analyzed and suppressed since the switching frequency of the converter affects EMI noise. Conducted emission occurs in drive systems due to inverter parasitic capacitances and rapidly switching inverter output voltages. The EMI noise produced space vector pulse width modulation (SVPWM) inverter is calculated using MATLAB/Simulink simulation data. The unwanted common mode and differential mode signals produced by the inverter are captured using a spectrum analyzer and examined using short time Fourier transform (STFT). To mitigate the effect of EMI in the circuit and to comply with the standards filters are developed. The passive filter components are defined by the EMI standards attenuation requirements. The MATLAB simulation findings are confirmed and verified by hardware implementation.

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