Uncertainty Analysis of Power System Time-domain Simulation based on Generalized Polynomial Chaos Method

被引：0

作者：

Li, Linzhi ^{[1
]}

Qiu, Yiwei ^{[1
]}

Wu, Hao ^{[1
]}

Song, Yonghua ^{[1
]}

Xiao, Lei ^{[2
]}

机构：

[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China

[2] State Grid Sichuan Elect Power Co, State Grid Tianfu New Area Power Supply Co, Chengdu 610000, Sichuan, Peoples R China

来源：

2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2017年

关键词：

generalized polynomial chaos method; Galerkin method; transient stability; uncertainty analysis;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents an efficient approach to study transient stability of power system under uncertain conditions. This approach comprises generalized polynomial chaos (gPC) expansion techniques, by which random variables are approximated, and Galerkin method, by which the approximating coefficients are worked out. This approach transfers stochastic problems into deterministic ones, which calls for computation for only once. When independent random variables are less, this approach can be more efficient than the Monte Carlo simulation(MCs) method. The precision of this approach is verified by the case studies in a 9 bus system.

引用

页数：5

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