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Distribution Network Reconfiguration for Loss Reduction by Hybrid Differential Evolution

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This article introduces a hybrid differential evolution (HDE) method for dealing with optimal network reconfiguration aiming at power loss reduction. The network reconfiguration of distribution systems is to recognize beneficial load transfers so that the objective function composed of power losses is minimized and the prescribed voltage limits are satisfied. The proposed method determines the proper system topology that reduces the power loss according to a load pattern. Mathematically, the problem of this research is a nonlinear programming problem with integer variables. This article presents a new approach that employs the HDE algorithm with integer variables to solve the problem. One three-feeder distribution system from the literature and one practical distribution network of Taiwan Power Company are used to exemplify the performance of the proposed method. Two other methods, the genetic algorithm and the simulated annealing, are also employed to solve the problem. Numerical results show that the proposed method is better than the other two methods.
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Keywords: genetic algorithm (GA); hybrid differential evolution (HDE); network reconfiguration; power loss reduction; simulated annealing (SA)

Document Type: Research Article

Affiliations: 1: Department of Electrical Engineering, WuFeng Institute of Technology, Chia-Yi, Taiwan 2: Institute of Electrical Engineering, National Chung Cheng University, Chia-Yi, Taiwan

Publication date: 01 December 2005

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