Optimal Placement and Sizing of Hybrid Solar-Wind Distributed Generation in Distribution Network using Particle Swarm Optimization Algorithm

The addition of Distributed Generation (DG) in distribution networks can significantly improve the system voltage and minimize the total losses of the system, however, the incorrect installation of DG can cause the opposite effect in the system. Thus, the installation of DGs in distribution networks requires optimum DG placement and sizing through optimization techniques. This study offers an optimal placement and sizing of hybrid solar-wind distributed generators with three different cases in the IEEE 33 Bus System using Particle Swarm optimization Algorithm in MATLAB. The simulation results obtained in this study showed that the system voltage was enhanced and the power losses were minimized for all the test cases when compared to the system where DG is not present. Moreover, the test case with 1 Solar DG and 1 Wind DG at optimal locations in bus numbers 33 and 18, and optimal sizes of 0.38955 MW and 0.29542 MW, respectively, was the most favorable configuration among the other test cases with an average voltage profile of 0.9866 and minimized power losses of 124.6380 KW, which is a 38.5042% reduction in the total power losses of the system without DG.