Chance Constrained Optimization of Multi-Energy Supply System with Wind and PV Combined Output

To avoid the supply and demand imbalance risk caused by the uncertainties of wind and photovoltaic (PV) outputs, this paper uses the Cholesky decomposition and chance-constrained programming method to construct the optimal model for the multi-energy power system. The established model can not only accurately handle the distribution probability of wind and solar combined outputs, but can also significantly improve the stability of system operation by adjusting the supply-side energy structure. The actual integrated energy system is utilized for simulations, and the results show that the proposed chance-constrained model enhances the safety of integrated energy system operations.