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Title: Power system stabilizer (PSS) parameter design based on probabilistic eigenvalue analysis
Other Titles: 基于概率特征根分析的电力系统稳定器参数设计
Authors: Wang, KW
Tse, CT
Shi, S
Yang, W
Keywords: Power system stabilizer (PSS): small-disturbance stability
Probabilistic eigenvalue analysis
Issue Date: 2001
Publisher: 電力工業部南京自動化硏究所
Source: 电力系统自动化 (Automation of electric power systems), June 2001, v. 25, no. 11, p. 20-23 How to cite?
Journal: 电力系统自动化 (Automation of electric power systems) 
Abstract: 多运行方式下的系统特征根将以一定的概率分布在某些区间内。正态假定下的均值、方差可用来描述这种分布特性。当使用电力系统稳定器(PSS)改善系统阻尼时,主要应考虑PSS对临界特征根的均值、方差的影响。文中将传统的特征根灵敏度分析方法扩展为对特征根均值的灵敏度和方差的灵敏度。由此进行的PSS选址和参数设计,将使PSS具有多运行方式下的整体合理性。
Probabilistic analysis efficiently provides a statistical approach of system eigenvalues in case of multi-operating conditions on power system dynamic studies. Under normal distribution, each eigenvalue can be described by its mean and variance. To enhance system damping under multi-operating conditions by power system stabilizers (PSSs). effects of PSSs on both eigenvalue mean and variance should be investigated. In this paper, the conventional eigenvalue sensitivity analysis has been extended to sensitivities to both means and variances of eigenvalues. The designed PSS parameters will be suitable for a wider range of power system operation.
ISSN: 1000-1026
Rights: © 2001 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2001 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
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