Abstract
AbstractA new genetic algorithm for a multiagent‐based autonomous power distribution network restoration system is proposed. The state of the art of this study is to realize a new genetic algorithm using selective sampling for improving the restoration performance. The proposed method realizes the selective sampling by a virtual accident selecting algorithm that changes the probability of selecting the virtual accident area. The virtual accident selecting algorithm consists of a weight table and an area‐value list. The weight table represents the difficulty of restoration in each accident area. The area‐value list represents the difficulty of restoration in the latest generation, and affects the weight table in the next generation. This architecture enables the system to alter the probability of changing each virtual accident area autonomously from restoration simulation. The simulation results show that the proposed method is capable of improving performance. © 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 95(2): 16–24, 2012; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.10389
Published Version
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