Fuzzy-sa approach for optimization of Distributed Generation parameters in a power system network

The introduction of Distributed Generation (DG) devices for power system improves the stability, reduction in losses and increase in the cost of generation. In this paper Hybrid Simulated Annealing (SA) is used to optimize the various parameters. The various parameters taken into consideration are their type, location and size of the DG devices. The simulation was performed on a distribution system with various types of DG's and modeled for steady state studies. The optimization results are compared among Genetic Algorithm(GA), Fuzzy Simulated Annealing (FSA) and with Micro Genetic Algorithm(MGA) The results reveal the benefits of the proposed method, for solving simultaneous optimization problems of DG devices in a power system network.

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