基于各种元启发式方法的定向过流继电器优化协调

N. Mancer, B. Mahdad
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引用次数: 0

摘要

本文提出了多种元启发式优化算法,并成功应用于解决定向过流继电器(DOCRs)的协调问题。提出的算法有人工蜜蜂算法(ABC)、基于生物地理的优化算法(BBO)、萤火虫算法(FA)和蜜蜂算法(BA)。docr协调的主要目标是在不违反安全约束的前提下,提高所有一次继电器的总运行时间,保证实际电力系统的主安全和服务连续性。各种元启发式算法的特殊性和鲁棒性在8总线互联电力系统中得到了验证。结果证明了元启发式方法,特别是BBO法和FA法在解决与电力系统保护协调相关的非线性问题中的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Coordination Of Directional Overcurrent Relays Using Various Metaheuristic Methods
In this paper, various metaheuristic optimization algorithms are proposed and successfully adapted to solve the coordination problem of directional overcurrent relays (DOCRs). The proposed algorithms are artificial bee algorithm (ABC), biogeography-based optimization (BBO), firefly algorithm (FA), and bee algorithm (BA). The main object of coordination of DOCRs is to improve the total operating time of all primary relays without violation of security constraints to main security and service continuity of the practical power systems. The particularity and robustness of various metaheuristic algorithms have been validated on 8 bus interconnected electric system. The results prove the viability of the metaheuristic methods in particular the BBO and FA in solving such non-linear problems related to power system protection coordination.
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