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International Journal of Power Electronics and Drive Systems (IJPEDS)

IJPEDS
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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

74 75 76 77 78

Modeling of photovoltaic system with maximum power point tracking control by neural networks Farid Saadaoui; Khaled Mammar; Abdaldjabar Hazzab
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

This paper presented the study, development and implementation of the maximum power point of a photovoltaic energy generator adapted by elevator converter and controlled by a maximum power point command. In order to improve photovoltaic system performance and to force the photovoltaic generator to operate at its maximum power point, the idea of the context of this paper deals with the exploitation of the technique of the artificial intelligence mechanism (neural network) certainly based on the three parts of the photovoltaic system (photovoltaic module inputs (temperature and solar radiation), photovoltaic module and control (MPPT)) that have been adopted within a simulation time of 24 hours.In addition, to reach the optimal operating point regardless of variations in climatic conditions, the use of a neuron network based disturbance and observation algorithm (P&O) is put into service of the system given its reliability, its simplicity and view that at any time it can follow the desired maximum power.The entire system is implemented in the Matlab / Simulink environment where simulation results obtained are very promising and have shown the effectiveness and speed of neural technology that still require a learning base so to improve the performance of photovoltaic systems and exploit them in energy production, as well as this technique has proved that these results are much better in terms (of its very great precision and speed of computation) than those of the controller based on the conventional MPPT method P&O.

Analysis of series/parallel multilevel inverter with symmetrical and asymmetrical configurations Motaparthi Nagaraju; Malligunta Kiran Kumar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Usage of high power and medium voltage applications in domestic and industrial purpose has been increased in the recent years. Also, the penetration of renewable energy sources is increasing rapidly. To make use the renewable energy sources there is a need of using inverters. The basic inverter is conventional two level inverter which produces the square wave output voltage. The major drawback of conventional inverter is it contains more harmonics. Therefore, multilevel inverters have been introduced with staircase output voltage waveform. Lot of multilevel inverter topologies have been developed and cascaded H bridge type is the more frequently used. But, it requires more number of switches for higher output voltage level. In this paper, a novel 7 level asymmetrical multilevel inverter topology is proposed with less number of switches. This proposed topology is compared with already existing topology. The simulation of circuit and result analysis of the circuit is carried out by using Matlab/simulink software. The comparison between existing topology and proposed topology is given. The results are discussed and presented.

Full versus decoupled constant matrices to speed up power system state estimation Meriem Majdoub; Bouchra Cheddadi; Omar Sabri; Abdelaziz Belfqih; Jamal Boukherouaa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

This paper presents a performance evaluation of two solutions to reduce computational burden of the traditional Weighted Least Squares Algorithm for power system state estimation: Simplified methods SWLS1 / SWLS2 based on full constant matrices and Fast decoupled FDWLS based on decoupled constant matrices. First, the algorithms were tested on IEEE 14 and 118 bus transmission systems. Second, the solutions were tested on a rural distribution feeder to evaluate the response of the algorithms to high R/X ratio. Results show that for transmission systems, FDWLS is the fastest method but more sensitive to erroneous measurements. Simplifications considered in FDWLS, are not valid in distribution systems with high R/X ratio this results in slowing down the algorithm convergence speed considerably compared to SWLS2 which performs well. SWLS2 algorithm presents a promising solution to reduce computation time for application in future smart grid.

Expert System Based on Fuzzy Logic: Application on Faults Detection and Diagnosis of DFIG Ahmed Cheriet; Abdelkader Bekri; Abdeldjebar Hazzab; Hicham Gouabi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Electrical energy production based on wind power is gaining area as renewable resources in the recent years because it gets clean energy with minimum cost. The major challenge for wind turbines is the electrical and the mechanical failures which can occur at any time causing damages and therefore it leads to machine downtimes and to energy production loss. To avoid this problem, several methods have been developed and used. In this paper, we proposed an expert system based on fuzzy logic which can detect and diagnosis DFIG’s faults via the Stator current’s signatures. The fuzzy inference system exploits the root mean square values of the stator’s currents according to expert’s rules to diagnosis the DFIG’s state. The smart proposed expert system is verified using simulations done under Matlab/Simulink. The obtained results are very interesting and show the efficiency of the proposed strategy.

Real Time Validation of EKF Estimator for Low Speed Estimation in DTC IMD Mini R; Binoj P.V.; B. Hariram Satheesh; Dinesh M.N.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Low speed estimation in DTC IMD is not accurate due to the presence of transient offset, drift and domination of ohmic voltage drop in the measured stator voltages and currents used for estimating the stator flux required for accurate estimation of speed. EKF is a nonlinear, recursive adaptive algorithm capable of estimating speed ranging from very low speed to rated speed using equation of motion from noisy measured currents and voltages based on state space technique. In the previous work a new state space model of IM was developed for estimation in EKF by feeding load torque profile as an input variable instead of estimating it by considering load torque as constant, validated using MATLAB-Simulink software. In this paper real time validation of the EKF controller with load profile fed as input for speed estimation in DTC IMD is carried out using OPAL-RT simulator and real time results validates the simulation results and proves the effectives of the new EKF for low speed estimation in DTC IMD

Thermal oxidation improvement in semiconductor wafer fabrication Christopher Julian Mahandran; Abdul Yasser Abd Fatah; Nurul Aini Bani; Hazilah Mad Kaidi; Mohd Nabil Bin Muhtazaruddin; Mohd Effendi Amran
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Thermal oxidation is a process done to grow a layer of oxide on the surface of a silicon wafer at elevated temperatures to form silicon dioxide. Usually, it en- counters instability in oxide growth and results in variation in the oxide thickness formed. This leads to downtime of furnace and wafer scrap. This study focuses on the factors leading to this phenomenon and finding the optimum settings of these factors. The factors that cause instability to oxide thickness were narrowed down to location of wafer in furnace, oxidation time, gas flow rate and temperature. Characterization and optimization were done using Design of Experiments. Full factorial design was implemented using 4 factors and 2 levels, resulting in 16 runs. Data analysis was done using Multiple Regression Analysis in JMP software. Actual versus predicted plot is examined to determine whether the model fit is significant. Adjusted R2 value was obtained at 99.8% or 0.998 indicating that there is very minimal variation of the data not explained by the model and thus confirming that the model is good. From the effect test, the factors were narrowed down from 4 factors to 3 factors. Location factor was found to have no impact. Significant factors that have impact are gas flow rate, oxidation time and temperature. Analyzing the leverage plots and least square mean plots, temperature was found to have the highest impact on oxide thickness. The model was further analyzed using prediction profiler in JMP to find the optimum settings for thermal oxidation process to meet the target oxide thickness of 8000A. Optimum setting for temperature was found to be at 958 C, gas flow rate at low flow rate (H2:6.5 slm and O2:4.5 slm), oxidation time at 280 min and location of wafers at both zone 1 and zone 2.

A contribution to the control of voltage and power of the interconnection between two decentralized electrical grids with an optimal localization of the SVC devices in real-time Ali Abderrazak Tadjeddine; A. Chaker; M. Khiat; L. Abdelmalek; N. Khalfalah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Several problems related to the power grid in the region of Adrar, in southern Algeria, where it is not connected to the Algerian national network. This region contains many energy resources for power stations, wind and photovoltaic farms. The industrial development in this region requires a connection with the national network to rationalize renewable energy sources and allow sufficient capacity of power for the two grids. The work involved in studying the possibility of interconnection between the grid of Adrar region and the Algerian national network. Modeling, control and real-time analysis of various scenarios have been achieved. A SVC with an optimal location has controlled the improvement of the voltage of the interconnected grid.

Optimal design of a single-phase APF based on PQ theory Dur Muhammad Soomro; Sager K. Alswed; Mohd Noor Abdullah; Nur Hanis Mohammad Radzi; Mazhar Hussain Baloch
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

The instantaneous active and reactive power (PQ) theory is one of the most widely used control theory for shunt active power filter (SAPF), which can be implemented in single-phase and three-phase systems. However, the SAPF with PQ theory still had ability to improve to become more efficient. This paper presents the optimal design of a single-phase SAPF in terms of reducing the current harmonic distortion and power loss in voltage source inverter (VSI) controlled with the semiconductor switching devices IGBT, MOSFET and Hybrid (combination of IGBT and MOSFET). In order to reduce the switching frequency and power loss of VSI, instead of using single-band hysteresis current controller (HCC), double-band HCC (DHCC) and triple-band HCC (THCC) is used in the SAPF. The designed SAPF is tested with different non-linear loads to verify the results by using MATLAB Simulink.

A Grid-Connected Photovoltaic Interface System for Delivering Active and Reactive Powers Neilcy T Mooniarsih; Syafrudin Masri; Mohd Hafeez; Ayong Hiendro
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

This paper presents a grid-connected photovoltaic (PV) interface for delivering both active and reactive powers. The PV interface employs H-bridge topology DC-DC converter and inverter with analog control technology. The power flow is controlled solely by the adjustable DC output voltage of the DC to DC converter. In order to evaluate the PV interface system’s performances, it is tested by delivering power to the grid with low pawer factor. The experimental results show that at 300W active load, the inverter could deliver the reactive power of 400VAR. The PV interface could also produce very low harmonic voltage and current distorsions. The laboratory measurements show that the total harmonic distortions of inverter output voltage and current are 0.46% and 0.05%, respectively

Proportional Resonant Controlled Dual Active Bridge DC to AC Converter System with Enhanced Response R. Sowmya; S. Rama Reddy
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

This paper deals with comparison of responses of PI and Proportional Resonant controlled DC to AC Converter systems. The objective of this work is to regulate the output of Dual Active Bridge DC to DC converter (DABDAC). The input DC is converted into high frequency AC using Half bridge inverter. It is stepped up by using step up transformer and then it is rectified. The DC is converted into Low frequency AC using a Half bridge inverter. The open loop DABDAC system, closed loop PI based DABDAC system an Proportional Resonant Controller (PRC)based DABDAC system are designed, modeled and simulated using MATLAB Simulink. The results of PR controlled system are compared with those of PI controlled system. The results indicate that the proposed PRC-DABDAC has better time domain response than PI controlled DABDAC system. The proposed DABDAC system has advantages like high gain and steady state error in output voltage.

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