Simulated Annealing approach for congestion minimization using Distributed power Generation

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 Simulated Annealing (SA) is used to optimize the various parameters in IEEE 33 bus radial distribution system. Expenditure of losses and savings are also estimated. Load flow analysis is done in IEEE 33 bus radial distributed network using Forward-Backward sweep method. Using MATlab the performance of simulated annealing is illustrated. The feasibility of the proposed system is proved with Five Distributed Generations (DGs) which is the combination of Solar, Wind, Fuel cell, Geothermal, Biomass, reciprocating engines, and micro turbines. Using multiple DGs the improved results are discussed in this paper.