Interactive fuzzy binary shuffled frog leaping algorithm for multi-objective reliable economic power distribution system expansion planning

A new method to solve non-linear mixed-integer constrained power distribution system expansion planning problems in presence of distributed generations (DGs) is investigated in this paper. The objective functions of this model are total energy not supplied (ENS) as reliability index, total expansion cost, and total voltage deviation. The final optimal solution proposes type, location and size of new equipment to meet the demand growth in the distribution system. An intelligent population based optimization algorithm called Binary Shuffled Frog Leaping Algorithm (BSFLA) is proposed to solve the problem. The interactive fuzzy method is used to solve the multi-objective optimization problem, so that conflicting objective functions can be easily consider together and achieve a set of non-dominated (Pareto-optimal) solutions. The model is applied on a standard IEEE distribution system to demonstrate the efficiency and feasibility of proposed method.

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