Distributionally Robust Operating Reserve Quantification of Integrated Electricity and Heating System

Nowadays, the uncertainty and variability of increasing wind power penetration has brought new challenges to electric power system operation, putting forward higher requirements for its operational flexibility and reserve capability. To realize adequate reserve provision for power system, massive flexible resources in integrated electricity and heating system have been aggregated to supply efficient reserve capacity. In this context, we first propose an operating reserve quantification scheme for analyzing both probabilistic reserve requirements and dynamic reserve capability of integrated electricity and heating system; Then, a simplified model is developed through convex relaxation and polyhedral approximation for computational tractability of district heating system reserve capacity. A noval two-layer iterative algorithm based on the second order cone duality is developed to obtain a two-stage distributionally robust energy and reserve scheduling strategy. Finally, numerical simulations are implemented to validate the effectiveness and economic benefits of the proposed approach.