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首页> 外文期刊>Electrotehnica, Electronica, Automatica >Overcurrent Relay Coordination using an Adaptive Neuro Fuzzy Inference Systems ANFIS
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Overcurrent Relay Coordination using an Adaptive Neuro Fuzzy Inference Systems ANFIS

机译:使用Adaptive Neuro Fuzzy推理系统ANFIS的过电流中继协调

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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 152At, 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%.
机译:OCR是最广泛用于保护传输系统中的配电系统和保护备份。如果主继电器和备用继电器未充分协调,则可能发生误操作。重要的是,在异常或障碍期间,OCR必须能够从健康系统隔离电力系统的错误部分。通过选择最佳TMS和PS值,可以通过主和备份继电器之间的适当协调来减少继电器操作时间。因此,继电器协调是电力系统保护的重要组成部分。 OCR时间协调是通过避免使用手术储备继电器来降低停电的重要性。 PS和TMS值在MATLAB编程的帮助下。在本研究的PLN系统中,SURALAYA 150KV IEEE 23总线。与31个OCR,38个主继电器对和备份相比,4厘米,NLP,GA和ANFIS方法产生了152AT,304主和备用继电器操作时间。通过查看负极性优化,NLP优于64.340%,而ANFIS优于94.875%。

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