Probabilistic Small Signal Stability Analysis of Power System with Large Scale Wind Power

被引：0

作者：

Wei, Zhang ^{[1
]}

Wei, Dan ^{[1
]}

Liu, San Ming ^{[1
]}

Yang, Ming Li ^{[1
]}

Pan, San Bo ^{[1
]}

Zhu, Xiao Wei ^{[1
]}

Pan, Zhi Gang ^{[1
]}

机构：

[1] Shanghai Dian Ji Univ, Coll Elect Engn, Shanghai 200240, Peoples R China

来源：

2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014 | 2014年

关键词：

LOAD FLOW COMPUTATION; POINT ESTIMATE METHOD; COMBINED CUMULANTS;

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：

Large-scale new energy grid brings plenty of influence to the power system, so research on wind turbine grid for power system stability has become a hot topic. Although the traditional small signal stability analysis method of the deterministic power system is relatively mature, the uncertainty of wind turbine output brings challenge to the stability analysis of the power system connected with large-scale wind turbines. The discrete point estimation method which is also the uncertain approximation theory is applied into the stability analysis of the power system involved a massive wind turbines in this paper, based on the traditional small signal stability analysis of deterministic power system. In order to verify the correctness of the method proposed in this paper, experiments of the New England 39 node 10 machine power system based on Monte Carlo simulation (MCS) were performed.

引用

页数：4

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