Hybrid Intelligent Optimization Technique for Operating a Solar Generator in Electric Distribution System

This paper presents a review study for hybrid intelligent optimization for operating solar generators in electric distribution system. A number of optimization techniques have been proposed in the literature review to solve optimization for solar generators in electric distribution system to meet the operational controls such as voltage drops, transmission limits, and voltage unbalance limits. This paper introduces the extensive of solar generators which are also called micro Fits. This paper has led to the development of optimization algorithm for minimizing phase unbalances in distribution systems by controlling the states of the existing system tools and resources. A decision making process has been developed in order to determine a single optimum solution from the Pareto front generated. Operational controls such as voltage drop, transmission limits and voltage unbalance limits, are taken in to consideration in this analysis. In the context of smart grids, the proposed algorithm will facilitate the deployment of small sized solar generators. The main motive deals with the minimization of current unbalance index and energy loss associated with the system during the specified period and by reducing the voltage unbalance and voltage profile is kept within acceptable limits.