用非常规时间曲线评价过流继电器协调的DE和GWO

Y. González, A. Conde
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引用次数: 0

摘要

本文提出了一种在线应用中使用非常规时序曲线协调定向过流继电器(docr)的策略。由于电网的发电和拓扑结构的变化,动态条件的增加使离线协调性能下降。在网格系统中,当使用相同的过流继电器时间曲线时,会导致多次违反协调约束。相反,当确定每个协调对的时间曲线时,可以获得非常规曲线,从而节省了协调时间。采用灰狼优化算法(GWO)和差分进化算法(DE)求解高度复杂的非线性优化问题,对两种算法的性能进行了比较。在IEEE系统上进行了测试,结果表明该方案是可行的,取得了预期的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DE and GWO Evaluation for Overcurrent Relay Coordination using Non-Conventional Time Curves
This article presents a strategy for coordinating Directional Overcurrent Relays (DOCRs) using unconventional timing curves for online applications. The off-line coordination is degraded due to the increase of dynamic conditions by generation and topology changes of the electrical network. In meshed systems, when the same time curve for overcurrent relays is used results in numerous violations of coordination constraints. Instead, when the time curve is determined for each coordination pair nonconventional curves are obtained, this improves coordination times. The Grey Wolf Optimizer (GWO) and Differential Evolution (DE) algorithms have been adapted to solve the highly complex and nonlinear optimization problem, a comparison is made between both algorithms to analyze their performance. Tests have been carried out on the IEEE systems and show that the proposal is feasible, obtaining the desired results.
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