Low-carbon Economic Dispatching Strategy of Park Integrated Energy System Considering Source Load Uncertainty

Abstract

Environmental problems and "double carbon" goals promote the development of the Carbon emission trading market and the construction of a park integrated energy system (PIES) with multiple energy complementarities. However, the uncertainties at both ends of the source and load bring certain challenges to the reliable operation of the system. This paper establishes a two-stage robust optimal scheduling model for the PIES, considering the impact of wind and solar load uncertainty on the scheduling strategy. In the first stage, the minimum cost of power purchase and hydrogen storage system operation is set as the objective function. In the second stage, the minimum cost of gas purchase, battery operation and Carbon emission trading is set as the objective function, and C&CG algorithm is adopted to solve the problem. Finally, the optimization and scheduling results of the comprehensive energy system in the park under different operating scenarios are verified.