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《Advanced Technology of Electrical Engineering and Energy》 2007-01
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Application of advanced GENOCOPⅢ algorithm to reactive power optimization

ZHANG Ke,HOU Shi-ying,LV Hou-yu,WANG Ling-yi(The Key Lab.of High Voltage Eng.and Elec.New Technology,Ministry of Education,Chongqing University,Chongqing 400044,China)  
In this paper,GENOCOPⅢ(Genetic algorithm for Numerical Optimization of Constrained Problems) algorithm is applied to reactive power optimization(RPO).The GENOCOPⅢ algorithm is a co-evolutionary algorithm for numerical optimization problems with nonlinear constraints.The algorithm maintains two separate populations.The first population consists of the so-called search points from S which satisfy linear constraints of the problem(as in the original Genocop system),the second population consists of the so-called reference points.These points are fully feasible.This algorithm uses the method of repairing infeasible individuals to search the feasible points.The proposed algorithm is applied to IEEE 14-bus system;the numerical results of the simulation demonstrate the validity and effectiveness of this algorithm.
【CateGory Index】: TM714;TM744
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