Protection Coordination for Micro-Grids based on Multi-Objective Optimization Considering Simultaneous Uncertainty

H. Zand, K. Mazlumi, A. Bagheri
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引用次数: 6

Abstract

The directional overcurrent relays (DOCRs) are the most important protection devices in micro-grids which are usually coordinated based on the fixed network topology. Due to the presence of the distributed generations (DGs), the setting of these relays is a nonlinear problem which should be solved using appropriate optimization algorithms. The network topology may alter because of uncertainties such as transient and permanent faults or the operator’s mistake. The uncertainty increases the number of constraints that may be violated, and this issue complicates the solution algorithm. In this paper, a new objective function and a novel hybrid method are proposed based on multi-objective optimization considering simultaneous uncertainty by the genetic algorithm (GA) and network data analysis. The aim of the new proposed method is to coordinate the DOCRs in the presence of DGs incorporating uncertainty. The proposed approach is applied to the IEEE 14-bus system including distributed generation units. The results show the effectiveness of the presented method.
考虑同时不确定性的微电网多目标优化保护协调
定向过流继电器(docr)是微电网中最重要的保护装置,通常基于固定的网络拓扑结构进行协调。由于分布式代(dg)的存在,这些继电器的整定是一个非线性问题,需要使用适当的优化算法来解决。网络拓扑结构可能会因为一些不确定因素而发生变化,比如暂时性和永久性的故障,或者操作员的失误。不确定性增加了可能被违反的约束的数量,并且这个问题使求解算法复杂化。基于遗传算法和网络数据分析,提出了一种考虑不确定性的多目标优化方法和新的目标函数。新提出的方法的目的是在包含不确定性的DGs存在时协调docr。该方法已应用于包含分布式发电机组的IEEE 14总线系统。实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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