期刊論文
| 學年 | 90 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2001-11-01 |
| 作品名稱 | Application of SOM-Based Fuzzy Systems in Voltage Security Margin Estimation |
| 作品名稱（其他語言） | |
| 著者 | Su, M.C.; Lai, Eugene; Tew, C.Y.; Liu, C.W.; Chang, C.S. |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Journal of Advanced Computational Intelligence 5, pp.157-162 |
| 摘要 | In recent years, many significant research efforts have been devoted to voltage security margins which show how close the current operating point of a power system is to a voltage collapse point as assessment of voltage security. In this paper we propose a technique based on the SOM-based fuzzy systems for voltage security margin estimation. The SOM-based fuzzy systems use the Kohonen’s self-organizing feature map (SOM) algorithm, not only for its vector quantization feature, but also for its topological property. The vector quantization feature of feature maps is used to search a good supply of most representative cluster centers. Then the topology-preserving feature is fully utilized to select a set of most influential rules so as to contribute to the computation of system outputs. The proposed technique was tested on 1604 simulated data randomly generated from operating conditions on the IEEE 30-bus system to indicate its high efficiency. |
| 關鍵字 | fuzzy systems;self-organizing feature map;Kohonen algorithm;voltage security |
| 語言 | en |
| ISSN | |
| 期刊性質 | 國內 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/60792 ) |