A new hybrid evolutionary algorithm based on new fuzzy adaptive PSO and NM algorithms for Distribution Feeder Reconfiguration
作者： Taher Niknam , Ehsan Azadfarsani , Masoud Jabbari
DOI: 10.1016/J.ENCONMAN.2011.09.014
关键词:
摘要: Abstract Network reconfiguration for loss reduction in distribution system is a very important way to save the electrical energy. This paper proposes new hybrid evolutionary algorithm solve Distribution Feeder Reconfiguration problem (DFR). The based on combination of New Fuzzy Adaptive Particle Swarm Optimization (NFAPSO) and Nelder–Mead simplex search method (NM) called NFAPSO–NM. In proposed algorithm, fuzzy adaptive particle swarm optimization includes two parts. first part Binary (FABPSO) that determines status tie switches (open or close) second Discrete (FADPSO) sectionalizing switch number. other side, due results binary PSO(BPSO) discrete PSO(DPSO) algorithms highly depends values their parameters such as inertia weight learning factors, employed adaptively adjust during process. Moreover, combined with NFAPSO improve its performance. Finally, tested test feeders. simulation show powerful guarantees obtain global optimization.
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