Optimal DG Allocation in Radial Distribution Networks Using a Combined Approach Consisting Particle Swarm optimization9 Grey Wolf optimizer and Loss Sensitivity Factor

摘要

In the radial distribution system (RDS), the load demand of this network increases gradually and it is considering a normal process, this lead to increase in the active and reactive power losses, poor voltage profile, and the thermal limit for the cables isn’t be in the acceptable limit. So, it must find solutions to get clear of this problem to deal with the annual increase in the load demand and increase the capacity of the network feeder section, while satisfying the system constraints. In this paper, a Combined optimization Technique (COT) is used based on the hybrid formation of Particle Swarm optimization (PSO) with Grey Wolf optimizer (GWO) called HPSOGWO and loss sensitivity factor (LSF) is proposed to determine the optimal allocation of Distributed Generations (DGs) in radial distribution networks (RDNs). HPSOGWO is considered an efficient hybrid optimization algorithm. However, the COT is depended on two-stage, in the first stage, the loss sensitivity factor (LSF) is employed to choose the high potential buses for reducing the search space and the computational time. In the second stage, the HPSOGWO is decided to select the optimal locations and size of DGs. the COT is examined on standard IEEE 33-bus at load growth.