基于人工生态优化器的定向过流继电器优化协调的有效方法

M. Abdelhamid, S. Kamel, M. A. Mohamed, C. Rahmann
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引用次数: 4

摘要

本文将基于人工生态系统优化(AEO)算法应用于坐标定向过电流继电器(docr)。docr的优化协调是一个非线性、高约束的问题,但对于保证电力系统的安全运行具有重要意义。AEO算法是近年来自然启发的元启发式算法之一。它模拟了能量通过三种生物体进入地球生态系统的过程,包括生产、消耗和分解。AEO成功地应用于协调docr,目的是最大限度地减少三个测试系统(包括8总线,9总线和15总线系统)中使用的继电器的总体运行时间。将该算法的结果与其他已知算法进行了比较。仿真结果证明了该算法在寻找docr的最佳协调和最小化继电器总体运行时间方面的重要性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Effective Approach for Optimal Coordination of Directional Overcurrent Relays Based on Artificial Ecosystem Optimizer
In this paper, the artificial ecosystem-based optimization (AEO) algorithm is applied to coordinate directional over current relays (DOCRs). Optimal coordination of DOCRs is non-linear and highly constrained problem but it is important to keep secure and protected power system operation. The AEO algorithm is one of the recent nature-inspired meta-heuristic algorithms. It simulates the flow of energy into an Earth's ecosystem by three living organisms including production, consumption, and decomposition. The AEO is successfully applied to coordinate DOCRs with the aim of minimizing the overall operating time of the relays used in three test systems including 8-bus, 9-bus, and 15-bus systems. The results of the developed algorithm are compared with other well-known algorithms. The simulation results demonstrated the importance and effectiveness of the proposed algorithm in finding the optimal coordination of DOCRs and minimizing the overall operating time of the relays.
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