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《Proceedings of the CSU-EPSA》 2006-03
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Improved Partheno-Genetic Algorithm for Medium Voltage Distribution Network Optimal Planning

WANG Lei,GU Jie (School of Electronic Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,China)  
This paper presents an improved partheno-genetic algorithm based on spanning tree coding for medium voltage distribution network optimal planning.Considering that real distribution network just likes a spanning tree,the length of the chromosome is set equal to the number of customers or loads.Furthermore,two mutation methods are introduced,namely exchange mutation and insertion mutation.A control scheme along with genetic operation in evolution,which is used to repair chromosome,avoids unfeasible solution and accelerates computing efficiency and convergence speed.Therefore immature convergence is dispelled in this algorithm.The optimal result of a 16-bus test system is achieved using the proposed algorithm by costing 3.59s and iterating 60 times.The simulation results show that the algorithm is effective and practical,and can be applied to distribution network expansion planning.
【CateGory Index】: TM715
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