Reliability Optimization of a Radial Distribution System Using Bacterial Foraging Algorithm Based on Customer and Energy Based Indices

In this paper, a methodology has been developed for reliability evaluation of radial distribution system by determining the optimal values of repair times and failure rates of each section. Failure rate and repair time based on penalty cost function has been constructed. Constraints on customer and energy based indices i.e. SAIFI, SAIDI, CAIDI, AENS, and ASAI are considered. A decomposed approach, which optimizes failure rate and repair time separately satisfying the constraints, is used. A recently developed bacterial foraging algorithm is employed to solve the optimization problem. The proposed algorithm has been implemented on an eight node distribution network. The obtained results are compared with PSO, CAPSO, FDR PSO and DE algorithms.