Optimal Hourly Scheduling of PV Sources in EDS Considering the Power Variability of Load Demand and DG Using MOGWO Algorithm

This article presents a novel Multi-Objective Optimization (MOO) technique to allocate multiple Distributed Generation (DG) units based on solar photovoltaic source optimally in radial EDS. The optimization process is performed to simultaneously minimize the Active Power Loss (APL), Total Voltage Variation (TVV), and maximize the Short-Circuit Current (SCI) of the EDS. A new metaheuristic, namely Multi-Objective Grey Wolf Optimizer (MOGWO) algorithm is proposed to solve this optimal DG allocation problem. The applied MOGWO algorithm is equipped with a hierarchical nondominated sorting technique which is superior to the existing fast non-dominated sorting strategy in terms of computational complexity. The proposed methodology is tested on standard IEEE systems are used to demonstrate the feasibility of the MOGWO algorithm in allocating the DG units by taking into account the uncertainty of the power delivered by the DG as well as the variation of load demand in 24 hours.