Optimal Adaptive Protection Using Setting Groups Allocation Based on Impedance Matrix

A. Abbasi, H. Karegar, T. Aghdam
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引用次数: 5

Abstract

In this paper, an offline adaptive protection coordination based on Setting Groups (SGs) is proposed to consider the uncertainties in distribution networks. Distributed Generations (DGs) and line outages significantly change the patterns of fault current which results in miss-coordination and non-optimal tripping times. The SGs are systematically assigned based on the impedance matrix to cluster the different operating conditions of grid to a limited number of SGs, using kmeans method. Based on the assigned operating modes to each SG, an optimal coordination is solved to maximize protection system sensitivity, simultaneously preserving the selectivity in case of events like DGs disconnection and line outage. The proposed method is simulated on IEEE 30 Bus and optimum SGs are found using Genetic Algorithm (GA). The results indicate that relays present a robust protection while the selectivity is guaranteed.
基于阻抗矩阵的设置组分配最优自适应保护
针对配电网中的不确定性,提出了一种基于设置组的离线自适应保护协调方法。分布式代(dg)和线路中断显著地改变了故障电流模式,从而导致失协调和非最佳脱扣时间。采用kmeans方法,基于阻抗矩阵系统地分配栅极,将栅极的不同运行状态聚类到有限的栅极上。在为每个SG分配工作模式的基础上,解决了最佳协调问题,以最大限度地提高保护系统的灵敏度,同时在dg断开和线路中断等事件下保持选择性。该方法在ieee30总线上进行了仿真,并利用遗传算法(GA)找到了最优的SGs。结果表明,该继电器在保证选择性的前提下,具有良好的保护效果。
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