Overcurrent Relay Coordination using an Adaptive Neuro Fuzzy Inference Systems (ANFIS)

Andika Syaiful Rizal, A. Adriansyah, S. Budiyanto, S. Haryanti, U. A. Rachmawati
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引用次数: 1

Abstract

OCR is the most widely used for the protection of distribution systems and protection backups in transmission systems. Maloperations can occur if the primary relay and backup relay are not adequately coordinated. It is essential that during abnormalities or disorders, OCR must be able to isolate only the wrong parts of the power system from a healthy system. Relay operation time can be reduced by proper coordination between primary and backup relays by selecting the optimum TMS and PS values. And because of that, relay coordination is an important part of power system protection. OCR time coordination is significant to reduce power outages by avoiding the mal-operative reserve relay. PS and TMS values with the help of MATLAB programming. In this study on the PLN system, Suralaya 150kV IEEE 23 Bus. 4 CM, NLP, GA, and ANFIS methods compared to 31 OCR, 38 main relay pairs, and backups produced 152∆t, 304 main and backup relay operation times. By looking at negative polarity optimization, NLP is superior to 64.340%, while ANFIS is superior to 94.875%.
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基于自适应神经模糊推理系统的过流继电器协调
OCR在配电系统保护和输电系统备份保护中应用最为广泛。如果主继电器和备用继电器没有充分协调,可能会发生误操作。至关重要的是,在异常或失调期间,OCR必须能够将电力系统的错误部分与健康系统隔离开来。通过选择最佳的TMS和PS值,合理协调主备继电器,可以缩短继电器运行时间。因此,继电协调是电力系统保护的重要组成部分。OCR时间协调对于避免备用继电器误动,减少电力中断具有重要意义。PS和TMS值借助MATLAB编程。在本研究中,在PLN系统中,Suralaya 150kV IEEE 23 Bus、4 CM、NLP、GA和ANFIS方法与31个OCR、38个主继电器对和备份相比,产生了152∆t、304个主和备份继电器操作次数。从负极性优化来看,NLP优于64.340%,而ANFIS优于94.875%。
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来源期刊
EEA - Electrotehnica, Electronica, Automatica
EEA - Electrotehnica, Electronica, Automatica Engineering-Electrical and Electronic Engineering
CiteScore
0.90
自引率
0.00%
发文量
26
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