OPTIMAL DG PLACEMENT FOR MINIMUMREAL POWER LOSS USING BFO

[摘要] Power flow analysis is widely used by power distribution professional during the operation and planning of power distribution system. There are three main methods for load flow studies namely Gauss-Seidel method, Newton-Raphson method and Fast decoupled method. Different resources are also be used in distributed generation (DG), such as wind turbines, biomass, micro turbine, photovoltaic, fuel-cells, small hydroelectric plants, etc., and it ranging from sub-kW to multi-MW sizes. DG affects the flow of voltage and power conditions on the system equipment. These may affect themselves either positively or negatively depending on the distribution system operating conditions and the DG characteristics. Bacterial Foraging Optimization (BFO) is inspired by the social foraging behaviour of Escherichia coli. It is having a fast convergence and self adaptability of individual in that group searching activities. BFO is more preferred as compared to Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) because it is derivate free technique. BFO is divided into four main steps chemotaxis, swarming, reproduction and elimination dispersal. In this paper, investigation is done on optimal location of DGs are realize using BFO algorithm.

[关键词] Power flow;DG;BFO;Newton-Raphson method.