The Modified hybrid Multi-Objective Genetic Algorithm and Loss Sensitivity Factor for Optimal Siting and Sizing of PV-Based Distributed Generation in Distribution Networks

Many optimization algorithms have been developed for the problem of optimal siting and sizing of Photo-Voltaic (PV) Distributed Generators (DGs) in distribution networks. However, most of them fail to include a clear solar potential assessment at the buses of these networks. In this paper, two well-known algorithms, the Multi-Objective Genetic Algorithm (MOGA) and Loss Sensitivity Factor (LSF) are combined to form the Modified hybrid MOGA-LSF algorithm that extends the hybrid MOGA-LSF formulation to include a solar potential assessment at each bus of the network and jointly minimize active power losses, voltage deviations, and energy costs. The proposed hybrid algorithm is tested on the IEEE-15 bus radial distribution network and compared to the conventional MOGA. The resulting PV DGs allocations show that solar potential is a determinant factor in the optimal siting and sizing of PV DGs in distribution networks.