https://scholars.lib.ntu.edu.tw/handle/123456789/149780
標題: | Distribution system service restoration using the artificial neural network approach and pattern recognition method | 作者: | Huang, H.-M. YUAN-YIH HSU |
公開日期: | 五月-1995 | 卷: | 142 | 期: | 3 | 起(迄)頁: | 251-256 | 來源出版物: | Generation, Transmission and Distribution, IEE Proceedings C | 摘要: | Service restoration of a distribution system is investigated by using artificial intelligence. The purpose is to reach a proper restoration plan for the unfaulted zone after a fault has been identified and isolated. To reduce outage period and improve service reliability, the restoration plan must be devised in a very short period. In the paper, two approaches using artificial intelligence, i.e. the artificial neural network (ANN) approach and the pattern recognition method, are developed to determine the restoration plan in a very efficient manner. The effectiveness of the proposed approaches is demonstrated by the restoration of electricity service following a fault in a distribution system in Taipei, Taiwan. It is concluded from the example that a proper restoration plan can be reached very efficiently using the proposed approaches. Therefore, it can be used by distribution system operators to reach a restoration plan. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/2007041910042601 https://www.scopus.com/inward/record.uri?eid=2-s2.0-0029306883&doi=10.1049%2fip-gtd%3a19951713&partnerID=40&md5=f77ca51aff9b08b11a9bba259768ec93 |
ISSN: | 13502360 | DOI: | 10.1049/ip-gtd:19951713 | SDG/關鍵字: | Distribution system service restoration; Fault location identification; Taiwan Power Company; Artificial intelligence; Codes (symbols); Computer applications; Electric fault location; Electric power distribution; Electric utilities; Heuristic programming; Neural networks; Pattern recognition; Reliability; Electric power systems |
顯示於: | 電機工程學系 |
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