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Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems

机译:用于电力系统方向过电力中继的最佳协调的自然启发鲸鲸优化算法

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摘要

In power systems protection, the optimal coordination of directional overcurrent relays (DOCRs) is of paramount importance. The coordination of DOCRs in a multi-loop power system is formulated as an optimization problem. The main objective of this paper is to develop the whale optimization algorithm (WOA) for the optimal coordination of DOCRs and minimize the sum of the operating times of all primary relays. The WOA is inspired by the bubble-net hunting strategy of humpback whales which leads toward global minima. The proposed algorithm has been applied to six IEEE test systems including the IEEE three-bus, eight-bus, nine-bus, 14-bus, 15-bus, and 30-bus test systems. Furthermore, the results obtained using the proposed WOA are compared with those obtained by other up-to-date algorithms. The obtained results show the effectiveness of the proposed WOA to minimize the relay operating time for the optimal coordination of DOCRs.
机译:在电力系统保护中,方向过电流继电器(DOCRS)的最佳协调是至关重要的。将DOCRS在多环电力系统中的协调被制定为优化问题。本文的主要目的是开发鲸鱼优化算法(WOA),以实现DOCRS的最佳协调,并最大限度地减少所有主继电器的运营时间的总和。 WOA的灵感来自驼背鲸的泡沫净狩猎策略,这导致全球最小值。所提出的算法已应用于六个IEEE测试系统,包括IEEE三公交车,八辆总线,九公交车,14公共汽车,15公交车和30柱测试系统。此外,将使用所提出的WOA获得的结果与其他最新算法获得的结果进行比较。所得结果表明,所提出的WOA的有效性最小化继电器操作时间,以实现DOCRS的最佳协调。

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