Distributionally robust dispatching of multi-community integrated energy system considering energy sharing and profit allocation

Community energy consumption accounts for a large proportion of total social energy consumption. Therefore, community integrated energy systems have emerged to satisfy these demands. However, limited resource allocation of the integrated energy system in a single community is possible because of poor anti-interference and insufficient photovoltaic absorption. A distributionally robust optimal dispatching model was proposed for the joint operation of multiple community integrated energy systems, and the energy sharing and joint demand response among communities were considered. Kullback–Leibler (KL) divergence was used to describe the ambiguity set of photovoltaic output probability distribution. When the photovoltaic output prediction error obeyed the extreme probability distribution of ambiguity set, the minimum operation cost of multi-community was solved. Furthermore, to ensure successful alliance of multi-community cooperative alliance, a profit allocation mechanism based on the improved Shapley value was proposed to reallocate the excess return fairly. Finally, a typical multi community integrated energy system was simulated and analysed. The results revealed that energy sharing and joint demand response improve the economy of multi community operation, and the coordination of system robustness and economy of the model was realised. The proposed profit allocation mechanism can effectively ensure multi community cooperation.