IDENTIFICATION OF FAULT ZONE IN DISTRIBUTION SYSTEM IN THE PRESENCE OF PV MODULE AND ESD BY DTCWT–STATE VECTOR MACHINE ALGORITHM USING OPTIMALLY PLACED MEASURING DEVICES

IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Power and Energy Systems Pub Date : 2022-01-01 DOI:10.2316/j.2022.203-0336

S. Joga, P. Sinha, M. K. Maharana, D. Kothari, C. Jena

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引用次数: 0

Abstract

In this paper, a novel scheme is suggested for identifying the location of short-circuit faults that occur in distribution system. The proposed genetic algorithm and graph theory–based method is designed such a way that it splits electrical distribution system into protection zones containing buses, protection relays with measuring devices. Proposed methodology also decreases the calculation burden in dealing with large number of data sets. Genetic algorithm– based heuristic search method is used to place measuring devices at optimal location, and it is carried out in MATLAB. A new signal processing technique named dual tree complex wavelets transform is used for feature extraction, and support vector machine–based machine learning classifier is used for pattern recognition. IEEE33 bus radial distribution system and IEEE13 bus feeder test systems are tested for validating the proposed methodology and all the simulation work carried out in MATLAB Simulink.

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采用dtcwt -状态向量机算法对光伏组件和esd存在的配电系统进行故障区识别

本文提出了一种新的配电系统短路故障定位方法。采用遗传算法和基于图论的方法，将配电系统划分为包含母线、保护继电器和测量装置的保护区域。该方法还减少了处理大量数据集时的计算负担。采用基于遗传算法的启发式搜索方法将测量装置放置在最优位置，并在MATLAB中实现。采用对偶树复小波变换进行特征提取，采用基于支持向量机的机器学习分类器进行模式识别。对IEEE33总线径向分配系统和IEEE13总线馈线测试系统进行了测试，以验证所提出的方法，并在MATLAB Simulink中进行了所有仿真工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Power and Energy Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

1.00

自引率

0.00%

发文量

期刊介绍： First published in 1972, this journal serves a worldwide readership of power and energy professionals. As one of the premier referred publications in the field, this journal strives to be the first to explore emerging energy issues, featuring only papers of the highest scientific merit. The subject areas of this journal include power transmission, distribution and generation, electric power quality, education, energy development, competition and regulation, power electronics, communication, electric machinery, power engineering systems, protection, reliability and security, energy management systems and supervisory control, economics, dispatching and scheduling, energy systems modelling and simulation, alternative energy sources, policy and planning.