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《JOURNAL OF ELECTRIC POWER》 1998-02
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An Improved Simulated Annealing Algorithm for VAR Optimization

Liu Jilai (Qinghai University)  
This paper introduces a simulated annealing algorithm and presets an improved simulated annealing algorithm with a decomposition of searh procedure and iteraive order of optimization, which ensure an optimal soution by defining a limitation in order to judge a sample procedure and annealing procedure. Finally, the experimental results are given to prov it's effccency.
【Key Words】: power system VAR optimization simutaled annealing
【CateGory Index】: TP301
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【References】
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【Co-citations】
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1 Liu Jilai; Wang Jianling(Qinghai University) (Taiyuan Iron and Steel Company);The Fuzzy Set and Reactive Optimization of Multi-objective for Power System[J];Journal of Electric Power;1998-01
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2 CAI Changchun1,DING Xiaoqun2,WANG Kuan2,SHEN Maoya2,WU Zhen3(1.Hohai University(Changzhou),Changzhou 213022,China;2.Hohai University,Nanjing 210098,China;3.Taixing Power Supply Company,Taizhou 225400,China);Simplified Method of Dynamic Reactive Power Optimization and Its Implementation[J];Automation of Electric Power Systems;2008-05
3 LI Yun-hua1,WU Hong-bing1,SHENG Wan-xing2,LIU Ke-yan1(1.School of Automation Science and Electrical Engineering,Beihang University,Beijing 100083,China;2.China Electric Power Research Institute,Beijing 100085,China);Application of Distributed Parallel Hybrid Genetic Algorithm in Reactive Power Optimization[J];Proceedings of the Chinese Society of Universities for Electric Power System and its Automation;2008-02
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7 YANG Wei-bo1,2,ZHAO Yan-wei21.College of Physics & Electronic Information Engineering,Wenzhou University,Wenzhou,Zhejiang 325035,China 2.The MOE Key Laboratory of Mechanical Manufacture and Automation,Zhejiang University of Technology,Hangzhou 310014,China;Improved simulated annealing algorithm for TSP[J];Computer Engineering and Applications;2010-15
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10 GAO Xiao1,XU Gao-feng2,ZHONG Yong1(1.Chengdu Institute of Computer Application,Chinese Academy of Sciences,Chengdu Sichuan 610041,China;2.PetroChina Kunlun Natural Gas Utilization Company Limited,Shenzhen Guangdong 518054,China);Software process control model based on critical path method[J];Journal of Computer Applications;2010-10
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