Evaluating the Impact of Optimal Sizing and Allocation of Distributed Generation Units Using New Multi-Objective Optimization Techniques

摘要

This paper presents the determination of the optimal location and size of Distributed Generation Units inpower system networks. Their optimal allocation was very important to improve the voltage profile, and minimize the systemloss, with ensuring a minimum cost of the units. Three novel optimization techniques have been employed to choose themost appropriate one. Two different IEEE benchmark standard systems, IEEE-14 Bus system and IEEE-30 Bus system, wereused to validate the effectiveness of the proposed optimization techniques. The simulation results showed that the proposedtechniques had a good performance. The mine blast algorithm had the best performance when testing the IEEE-14 Bussystem, while the flower pollination algorithm was the best when IEEE-30 Bus system was tested.