Integrated Energy System Planning with Distributed Energy Storage Considering Source Load Uncertainty under High PV Penetration

With the increasing penetration rate of photovoltaic(PV) access to the distribution network, the traditional integrated energy system planning method is difficult to fully utilize the advantages of the integrated energy system to cope with the high PV penetration distribution network due to the neglect of PV and load uncertainty considerations as well as its own methodological problems. Thus, an integrated energy system two-stage planning model considering PV and load uncertainty on the basis of high PV penetration distribution network is constructed from the two levels of distribution network and users. The first stage model is to determine the optimal grid-connected location and quantity of integrated energy system with the minimum number of integrated energy system grid-connected as the objective function. The second stage model is to determine the optimal capacity of integrated energy system grid-connected with the adaptive robust economic dispatch cost of integrated energy system as the objective function. The two-stage planning model is solved using the grey wolf optimization algorithm to determine the optimal grid-connected location and grid-connected capacity of integrated energy system. The validity of the integrated energy system planning model proposed is verified by example simulation.