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《Power System Technology》 2013-01
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Reactive Power Optimization Model and Algorithm With Complementarity Constraints Based on Aggregate Function

WEI Yuanqing,LI Bin,WEI Hua(Guangxi Key Laboratory of Power System Optimization and Energy Technology(Guangxi University),Nanning 530004,Guangxi Zhuang Autonomous Region,China)  
A smoothing model based on nonlinear complementarity function and aggregate function,which is solved by modern interior point method,presented to cope with discrete variables in reactive power optimization.At first,without considering discrete variables the pre-computation of reactive power optimization is performed to attain upper and lower bounds of discrete variables,and on this basis complementary constraints are constructed;then complementary constraints are turned into equivalent non-smooth equation set and smooth approximation is performed by aggregate function to turn the reactive power optimization into general nonlinear programming to solve it,thus the conflict between the time and the accuracy during the solution of discrete variables is resolved effectively.Simulation results of IEEE 30-bus system,IEEE 118-bus system,IEEE 300-bus system,S-1047 system and XB-1780 system,which is a domestic planning system for a certain region in China,show that the proposed method possesses high computational efficiency and its convergence rate is fast,so it is available to apply the proposed method in the solution of large-scale nonlinear programming containing discrete variables.
【Fund】: 国家自然科学基金项目(51107011);; 广西自然科学基金项目(2011GXNSFA018018);; 广西大学科研基金资助项目(XBZ120044)~~
【CateGory Index】: TM714.3
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