教師資料查詢 | 類別: 期刊論文 | 教師: 蕭瑛東 HSIAO YING-TUNG (瀏覽個人網頁)

標題:A fast global optimization approach to VAr planning for the large scale electric power systems
學年85
學期2
出版(發表)日期1997/02/01
作品名稱A fast global optimization approach to VAr planning for the large scale electric power systems
作品名稱(其他語言)
著者Liu, C.W.; Jwo, W.S.; Liu, C.C.; 蕭瑛東; Hsiao, Ying-tung
單位淡江大學電機工程學系
出版者Piscataway: Institute of Electrical and Electronics Engineers (IEEE)
著錄名稱、卷期、頁數IEEE Transactions on Power Systems 12(1), pp.437-443
摘要In this paper, an innovative fast global optimization technique, hybrid partial gradient descent/simulated annealing (HPGDSA), for optimal VAr planning is presented. The HPGDSA is introduced to search the global optimal solution considering both quality and speed at the same time. The basic idea of the HPGDSA is that partial gradient descent and simulated annealing alternate with each other such that it reduces the CPU time of the conventional simulated annealing (SA) method while retaining the main characteristics of SA, i.e., the ability to get the global optimal solution. The HPGDSA was applied to a practical power system, Taiwan Power System (Tai-Power System), with satisfactory results
關鍵字
語言英文
ISSN0885-8950
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式電子版
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