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《ADVANCED TECHNOLOGY OF ELECTRICAL ENGINEERING AND ENERGY》 1996-03
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THE APPLICATION OF GENETIC ALGORITHMS TO REACTIVE POWER OPTIMIZATION IN ELECTRIC POWER SYSTEMS

CHENG Haozhong(Department of Electric Power Engineering,Shanghai Jiao Tong University)  
This paper proposes a novel approach to reactive power optimization on the basis of genetic algorithms.Genetic algorithms are search and optimization algorithms based on the machanics of natural selection and natural genetics.When genetic algorithms are applied to the reactive power optimization in electric power systems,it not only can avoid optimization problems in general optimization algorithms ,but also can solve the discrete variables in reactive power optimizations.The genetic algorithms can avert a dimension catastrophe,and provide an optimal and some sub-optimal schemes for reactive power optimization.With the application of genetic algorithms in electric power systems,a novel algorithm is supplied for reactive power optimization,the reactive power optimization will become more perfect and more realizable.
【CateGory Index】: TM714.3
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