A past global optimization approach to VAr planning for the large scale electric power systems

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/46232

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题名:	A past global optimization approach to VAr planning for the large scale electric power systems
作者:	Liu, Chih-wen;Jwo, Wu-shun;Liu, Chun-chang;蕭瑛東;Hsiao, Ying-tung
贡献者:	淡江大學電機工程學系
关键词:	Reactive power;Power system planning;Large-scale systems;Power system simulation;Simulated annealing;Power system security;Constraint optimization;Cost function;Voltage;Power system modeling
日期:	1997-02
上传时间:	2010-03-26 21:28:21 (UTC+8)
出版者:	Institute of Electrical and Electronics Engineers (IEEE)
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.
關聯:	IEEE transactions on power systems 12(1), p.437-443
DOI:	10.1109/59.575761
显示于类别:	[電機工程學系暨研究所] 期刊論文

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