Bi-layer Multi-scenario Planning of Distributed Photovoltaic Generations Considering Photovoltaic Accommodation Rate

In view of the serious power curtailment problem due to the unreasonable distributed photovoltaic (PV) generations planning in the distribution network, a new bi-layer multi-scenario planning model of distributed photovoltaic generations considering its accommodation rate is built. The outer model optimizes the installed capacity of PV generations with the goal of maximizing the annual net income of photovoltaic investors, and the inner model optimizes the power curtailment of PV generation to maximize the annual PV accommodation rate. The scenarios are generated by the improved K-means clustering method. The multi-scenario based bi-layer planning model is solved by the molecular differential evolution algorithm. Finally, the simulation results of the IEEE 33-bus distribution system verified the superiority of the proposed planning model and the solution method.