Optimal coordination of over-current relays using differential evolution

S. Rodporn, D. Uthitsunthorn, T. Kulworawanichpong, R. Oonsivilai, A. Oonsivilai
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引用次数: 10

Abstract

In this paper, the study of optimal coordination of directional over-current relays is proposed. The relay coordination problem is non-linear. It typically consists of two groups of control variables (Time Dial Setting: TDS and Plug Setting: PS). The objective function used is the operation time of the main relay in all considered fault cases. The differential evolution (DE) is employed to solve for solutions of optimal relay coordination. It is a stochastic model based on finding the answer from some random method. This algorithm was originally developed from Genetic Algorithm (GA), but the structure is simpler. A 9-bus test system was employed as the test system. The results showed that the DE can find the best solution for optimal relay coordination problems when comparing with those of GA and BFGS.
差动演化过流继电器的优化协调
本文对定向过流继电器的优化协调问题进行了研究。继电器协调问题是非线性的。它通常由两组控制变量组成(时间拨号设置:TDS和插头设置:PS)。所使用的目标函数是在所有考虑的故障情况下主继电器的运行时间。采用差分进化方法求解继电器最优协调问题。它是一种基于随机方法寻找答案的随机模型。该算法最初是在遗传算法(GA)的基础上发展而来的,但结构更简单。采用9总线测试系统作为测试系统。结果表明,与遗传算法和BFGS算法相比,遗传算法能够找到最优中继协调问题的最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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