.png){kind=icon}
返回
Robust PSS design by probabilistic eigenvalue sensitivity analysis
.png){kind=icon}
PRE
AI
DOI：10.1016/S0378-7796(01)00114-6.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
When a wide range of system operation is taken into account for power system dynamic studies, probabilistic eigenvalue analysis efficiently provides the statistical distributions of concerned eigenvalues. Under the assumption of normal distribution, each eigenvalue can be described by its expectation and variance. To enhance system damping under multi-operating conditions by power system stabilizers (PSSs), effects of PSSs on both eigenvalue expectation and variance should be investigated. In this paper, the conventional eigenvalue sensitivity analysis has been extended to probabilistic environment. Eigenvalue sensitivities for both expectation and variance are determined to form two types of probabilistic sensitivity indices (PSIs). Robust PSS locations are selected by one type of PSI, PSS parameters are tuned by the probabilistic sensitivity analysis using another type of PSI. (C) 2001 Elsevier Science B.V. All rights reserved.
Keyword:
dynamic stability
power system stabilizer (PSS)
eigenvalue
sensitivity
probability
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.2
论文数:
1.2W
被引数:
2.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
Algorithm for power system dynamic stability studies taking account of the variation of load power
PREAI
分享收藏 没有更多内容
没有更多内容