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- W2373201776 abstract "Based on the single performance of the distribution network reconfiguration,a multi-objective distribution network optimization model is proposed which optimizes the line loss,load balance and voltage quality.Combined with the evolution idea of genetic algorithm(GA) and the population intellectual technique of particle swarm optimization (PSO) algorithm,the hybrid genetic particle swarm optimization algorithm(HGPSOA) was applied to search the optimization.By the random-weighted method,it obtains the objective that is the searching direction of Pareto front.The distribution network optimization program based on that can further enhance the security and efficiency of the distribution system while assuring that the distribution network is spokewise and satisfies the heat capacity of feeder lines,voltage reducing and transformer capacity.Example calculation shows that the algorithm has advantages both in effectiveness and efficiency." @default.
- W2373201776 created "2016-06-24" @default.
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- W2373201776 date "2007-01-01" @default.
- W2373201776 modified "2023-09-26" @default.
- W2373201776 title "Application of hybrid intelligent algorithm to grid optimization" @default.
- W2373201776 hasPublicationYear "2007" @default.
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