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《Journal of Northeast Dianli University》 2011-04
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The Study on The Mathematical Model of Reactive Power Optimization Based on Neighborhood topology Cultural Differential Evolution Algorithm

YANG Yue1,YUAN Chao2,LI Guo-qing1(1.School of Electrical Engineering,Northeast Dianli University,Jilin Jilin 132012;2.Power Plant of Jilin Petrochemical Company of CNPC,Jilin Jilin 132022)  
Reactive power optimization is the basis of stability and economy of power system.The neighborhood topology cultural differential evolution algorithm is proposed.The premature convergence and easy to fall into local optimal solution of the Cultural differential evolution algorithm are improved.The algorithm is the first time applied to reactive power optimization,and the model of reactive power optimization based on the algorithm is established.The neighborhood topology cultural differential evolution algorithm is a directly and randomly searching method.The study shows that the algorithm can quickly obtain the global optimal solution,have a good property of global convergence,and meet the requirements for reactive power optimization goals.The algorithm of reactive power optimization is on a check with IEEE 30 buses system,and is analyzed with common cultural differential evolution algorithm.The results of simulation shows that the neighborhood topology cultural differential evolution algorithm has the better ability for optimization.
【CateGory Index】: TM743
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