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《Electric Power Automation Equipment》 2008-03
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Multi-period reactive power optimization based on two-layer genetic algorithm

ZHANG Buhan,YANG Chao,TAO Fen (Electric Power Security and High Efficiency Lab,Huazhong University of Science and Technology,Wuhan 430074,China)  
A multi-period reactive power optimization method based on two-layer genetic algorithm is presented,which recasts the complex reactive power optimization problem into a parallel processing problem of multi-period static reactive power optimization. In the first layer,the traditional static reactive power optimization model is built and the calculations are carried out in parallel for each time interval within the dispatch period to find out multiple groups with better optimization status for composing the state space of control device action amount within dispatch period. In the second layer,the reactive power optimization model with the minimum action amount as its objective is built and some power flow distributions with less action amount are sought out from the state space. The integrated optimization of system power loss,voltage quality and control device action amount is further realized. Because of its parallel processing,the proposed method is more effective and more suitable for online applications.
【Fund】: 国家自然科学基金项目(50577027);; 教育部重点基金项目(1041)~~
【CateGory Index】: TP18;TM714
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