Finding the Optimal Path to Restoration Loads of Power Distribution Network by Hybrid GA-BCO Algorithms Under Fault and Fuzzy Objective Functions with Load Variations

journal of Artificial Intelligence in Electrical Engineering

مقاله 4، دوره 1، شماره 3، اسفند 2012، صفحه 38-45   

چکیده

In this paper proposes a fuzzy multi-objective hybrid Genetic and Bee colony optimization algorithm
(GA-BCO) to find the optimal restoration of loads of power distribution network under fault.
Restoration of distribution systems is a complex combinatorial optimization problem that should be
efficiently restored in reasonable time. To improve the efficiency of restoration and facilitate the
activity of operators an efficient GA-BCO algorithm is developed. To investigate the efficiency of
proposed algorithm, the algorithm is applied to a real case of distribution system from Taiwan Power
Company (TPC) and compared with those of existing approaches in the literature. Experimental
results show the capability of proposed algorithm in finding the optimal distribution system
restoration in reasonable time.

کلیدواژه‌ها

Restoration of distribution network؛ Genetic Algorithm؛ Bee colony optimization؛ Fuzzy multi-objective functions

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