Power system probabilistic small signal stability analysis using two point estimation method

被引：26

作者：

Yi, Haiqiong ^{[1
]}

Hou, Yunhe ^{[2
]}

Cheng, Shijie ^{[1
]}

Zhou, Hui ^{[1
]}

Chen, Gonggui ^{[3
]}

机构：

[1] Huazhong Univ Sci & Technol, Elect Power Secur & High Efficiency Lab, Luoyu Rd, Wuhan 430074, Hubei, Peoples R China

[2] Tsinghua Univ, Tsinghua, Peoples R China

[3] Hubei Inst Natl, Hubei, Peoples R China

来源：

2007 42ND INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1-3 | 2007年

基金：

中国国家自然科学基金;

关键词：

small signal stability; probabilistic analysis; eigenvalue; point estimation;

D O I：

10.1109/UPEC.2007.4468981

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：

A so-called two-point estimation (TPE) method is presented in this paper for power system probabilistic small signal stability (PSSS) analysis. With the development of power systems under open access environment, it is highly desired to investigate power system stability with uncertainties in both system parameters and operating conditions. Monte Carlo simulation (MCS) method has been widely used for this purpose. However, this method is very time-consuming. The TPE based method proposed in this paper provides a way to solve this problem to some extent. It estimate the statistical characteristics of random variables with less calculation requirement while keeping enough calculating precision. The TPE based method for the PSSS analysis is outlined. Then, the model as well as the stable indices for power system PSSS are presented. The effectiveness of the proposed method is verified by the simulation results on a 3-generator-9-node power system.

引用

页码：402 / 407

页数：6

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