Application of Eigenvalue Shifting and Approaching Method to Power System Stability Analysis
碩士 === 國立海洋大學 === 電機工程學系 === 85 === The eigenstructure (eigenvalue and eigenvector) analysis is usually employed in the study of power system dynamic stability. Based on the Eigen-Decompositioned Artificial Neural Network (EDANN), two meth...
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
1997
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| Online Access: | http://ndltd.ncl.edu.tw/handle/69307787801675907719 |
| Summary: | 碩士 === 國立海洋大學 === 電機工程學系 === 85 === The eigenstructure (eigenvalue and eigenvector) analysis is
usually employed in the study of power system dynamic stability.
Based on the Eigen-Decompositioned Artificial Neural Network
(EDANN), two methods, namely Approaching Method (AM) and
Shifting and Approaching Method (SAM), are proposed in this
thesis for computing the most unstable and all unstable modes
of the system, respectively. It is concluded from the studied
cases that the proposed methods are computationally effective
and efficient. Keywords: Eigen-Decompositioned Artificial Neural
Network, approaching, shift approaching, reduced order.
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