A multistage distribution system planning method considering renewable energy: A mixed integer linear programming approach

In this paper a methodology for distribution system expansion planning (DSEP) is presented in which in addition to network reinforcement, renewable distributed generations (RDGs) are considered as system capacity expansion options. The problem is formulated as a multistage expansion model which optimizes simultaneously the allocation of wind units as well as investment on network reinforcement over the planning horizon. The proposed optimization model considers the economic and environmental objectives, concurrently. For solving of the proposed optimization problem, an efficient mixed integer linear programming (MILP) approach is presented. The simulation results demonstrate the effectiveness of the approach in planning of environmentally friendly distribution networks.