Chance-constrained model predictive control based real-time dispatch strategy of regional integrated energy systems considering profit allocation

The regional integrated energy system (RIES) consisting of multiple multi-energy microgrids (MEMS) plays an important role in improving the efficiency of energy utilization and promoting the accommodation of renewable distributed generation. However, the presence of multiple stakeholders and various operational uncertainties in RIES poses great challenges to its energy management. To this end, this paper proposes a real-time energy dispatch strategy of RIES based on chance-constrained model predictive control (MPC) considering profit allocation. It combines the advantages of MPC and chance constraints to enable real-time energy dispatch and guarantee the operational reliability of RIES. In addition, the fair allocation of profits from energy sharing is achieved through Nash bargaining to stabilize the enthusiasm of MEMGs for part icipating in cooperation. The effectiveness of the proposed solution is extensively validated through numerical simulations.