Dispersed generation planning using a new evolutionary approach

This work presents an approach to dispersed generation planning based on genetic algorithm in a subtransmission system. Dispersed generations could be photovoltaic cells, wind generation, battery storage, fuel cell, etc. A method to optimally locate such generation in a meshed network for maximizing the potential benefits is outlined using genetic algorithm and its improvement in this paper. The benefit expressed as a performance index is minimization of losses. The proposed method was tested for several sample power systems with 6, 14 and 30 bus types. Also, to show its effectiveness, the results of suggested algorithm are compared with those of classical genetic algorithm.