A Flexible Planning Model for Distribution Network and Renewable Energy Integration considering Source and Load Uncertainty

The integration of large-scale renewable energy source (RES) and energy storage device (ESD) resulted in new challenges for the planning and operation of electrical distribution systems. This paper proposes a novel multistage stochastic planning method for the coordinate planning of ESD, distributed generation, and distribution network. The model considers the uncertainty of source and load over the planning horizon. Compared with the traditional stochastic programming method, the investment decisions of the proposed model can be adjusted according to future uncertainty information, and RES and ESD can be configured more reasonably. The overall problem is formulated as a mixed-integer linear programming model. Case studies conducted on an IEEE 24-node distribution system demonstrate the validity of the proposed planning model.