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), p.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 Reactive power;Power system planning;Large-scale systems;Power system simulation;Simulated annealing;Power system security;Constraint optimization;Cost function;Voltage;Power system modeling
語言 en
ISSN 0885-8950
期刊性質 國外
收錄於
產學合作
通訊作者
審稿制度 否
國別 USA
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/987654321/60733 )

機構典藏連結