Hybrid optimization implemented for distributed generation parameters in a power system network

•Simultaneous optimization of DG parameters is implemented.•We evaluate the problem using Hybrid Optimization Algorithm.•Maximization of Total Social Welfare is justified using an IEEE modified distribution system and in real time Indian utility system.•Results depict the success of the method for a complex power system. This paper presents a novel hybrid optimization algorithm for optimizing the Distributed Generation (DG) parameters in deregulated power system which improves the stability, reduces the losses and also increases the cost of generation. This Hybrid algorithm which includes Fuzzy-Genetic Algorithm (FGA) is used to optimize the various DG parameters simultaneously. The various parameters taken into consideration are their type, location and size of the DG devices. The simulation was performed on a distribution system and modeled for steady state studies. The optimization results are compared to the solution given by another search method like Genetic Algorithm (GA) and Micro Genetic Algorithm (MGA). The results reveal the benefits of the proposed method, for solving simultaneous combinorial problems of DG devices in a power system network.