International Journal of Engineering and Information Systems (IJEAIS)   Year: 2023 | Volume: 7 | Issue: 3 | Page No.: 17-26 Advanced Optimization Algorithm-based Method for Enhancing the Power Quality of the Distribution Networks with Photovoltaic Units Download PDF Fayza S. Mahmoudý, Abou-Hashema M. El-Sayed, and Ahmed A. Zaki Diab Abstract: These Recent studies focused on the importance of the installation of renewable distributed generations like photovoltaic (PV) in the distribution system. The enhancement of voltage profile, power quality, and power loss reduction are the major significations of photovoltaic integration. Optimization methods of the salp swarm algorithm (SSA), and marine predictor algorithm (MPA) have been employed for the optimal allocation of photovoltaic units in the distributed systems. This paper is divided into two stages: the first stage incorporates the loss sensitivity factor (LSF) to determine the most candidate buses for RDG integration, and the second stage determines the optimal location, within the candidate buses selected in the first stage, and the capacity of RDGs. The capacity of RDGs is calculated based on the maximum load of each bus. The optimal location is calculated based on the load and the capacity of each bus. The optimal location of each RDG is determined by using the salp swarm algorithm (SSA), and the marine predictor algorithm (MPA). The algorithm is tested using 33 bus routes. The results show that the proposed algorithm is efficient in terms of time and computational cost. Moreover, an inclusive comparison among the suggested optimization methods has been conducted for selecting the best solutions for RDGs units' allocation. The proposed techniques have been tested on one network, IEEE 33 nodes radial distribution network (RDN) in MATLAB, and the achievements are compared with other algorithms for more validation of the proposed methodologies.