Multi-Objective Function Optimization for Locating and Sizing of Distributed Generation Sources in Radial Distribution Networks with Fuse and Recloser Protection

Power quality, reliability, loss reduction, and fault clearing times are essential factors in distribution networks. Radial distribution networks often face two problems, line losses and voltage drop at the end of the grid. Connecting distributed generation (DG) can resolve these problems, but it can also cause miscoordination. Protection coordination in the presence of DGs is a major challenge of radial networks. Herein, the optimal location and size of DGs in a radial distribution network protected by fuse and recloser were determined to modify bus voltage profile and reduce active-reactive lines losses. Since the protection coordinate was eliminated by connecting DGs to the network, by using the SFCL in the output of DGs and minimizing its size, it attempted to restore the protection coordination between the fuse and the recloser. In this method, a nonlinear multi-objective function was introduced to be optimized by genetic and PSO algorithms. The simulation was performed in DIgSILENT software. The effectiveness of the proposed method was verified via IEEE 33-bus test systems.