PMU-Based Voltage Stability Assessment in Microgrids by ANNs Considering Single Contingencies

被引:0
|
作者
Gholami, M.
Sanjari, M. J.
Gharehpetian, G. B.
机构
关键词
Microgrid; PMU; Incomplete Observability; Artificial Neural Network; Voltage Stability Assessment; SYSTEMS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, the voltage stability assessment of the microgrid based on PMU data is discussed. In the best case, all buses in a microgrid are observable, but the cost of the monitoring system is high. In this paper, it is assumed that the economical saving or failure of PMUs would result in non-complete observability. Two methods, named as indirect and direct methods presented in this paper for the voltage stability assessment in normal and single contingency conditions. The proposed methods are applied to MG 15-Bus and MG 9-Bus systems. The results show that in the cases with less unobservable buses, the direct method is better than indirect method and in the cases with more unobservability the indirect method results in a better voltage stability assessment. Copyright (C) 2012 Praise Worthy Prize S.r.l. - All rights reserved.
引用
收藏
页码:6317 / 6323
页数:7
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