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Optimal coordination of over-current relays using differential evolution

机译:使用差分进化法优化过电流继电器

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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.
机译:本文提出了定向过流继电器的最优协调研究。中继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)。在所有考虑的故障情况下,使用的目标函数是主继电器的运行时间。差分演化(DE)用于解决最佳中继协调的解决方案。它是一种随机模型,基于从某种随机方法中找到答案。该算法最初是从遗传算法(GA)开发的,但是结构更简单。使用9总线测试系统作为测试系统。结果表明,与GA和BFGS相比,DE可以找到最佳中继协调问题的最佳解决方案。

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