A robust model for multistage distribution network planning

In this paper, a robust methodology is proposed for planning multistage distribution networks. The scenario set is used to describe the uncertainty of DGs and loads in which the quantity and type are simultaneously considered. Furthermore, controllable load is considered apart from traditional load. Based on the constructed scenario, high-voltage/medium-voltage (HV/MV), feeder route, tie-line and capacitor are optimally planned in order to satisfy different level of DG penetration and load growth rate. An objective function is constituted, composed of the investment cost, operation cost and reliability cost. The investment, operation and reliability are maintained within their standard bounds as constraints. The discrete particle swarm optimization (PSO) method is employed in this paper for optimizing the planning problem. The results highlight the effectiveness of this method for solving the topology planning problem of distribution network.