Distribution feeder expansion planning under load uncertainty

Distribution System expansion Planning (DEP) is the most important factor in the demand growth in the system. Planning involves the installation of new facilities, including feeder and new routes. In this paper, a new method is proposed under load uncertainty to obtain the best feeder expansion scheme in different candidate. The objective function of proposed model is minimization of the total investment, operation, maintenance and line loss costs. Moreover, improve voltage profile and reduction of power losses are investigated. The proposed planning is optimized using the binary particle swarm optimization (BPSO) technique. In addition, the uncertainty is modeled using Monte-Carlo simulation (MCS). The simulation results prove the ability and effectiveness of the proposed planning method to deal with uncertainty and operating investment Process.