Research on daily scheduling optimization of integrated energy system considering equipment nonlinearity

The integrated energy system has obvious economic, energy-saving and environmental protection characteristics, and is one of the important ways to achieve the carbon peak and carbon neutral strategy. The operation mode of the integrated energy system is very flexible, and the system can obtain better operation performance through scheduling optimization. To fully improve the system performance, this paper proposes a two-stage integrated energy system intraday scheduling optimization method considering equipment nonlinearity. First, to minimize the operation cost and consider the linear characteristic constraints of equipment, a linear programming model for the optimal scheduling of the intraday economy is established. Then, based on the linear optimization results and considering the nonlinear characteristics of equipment, a nonlinear optimal scheduling model is established, and the nonlinear optimization method is used to further improve the optimization accuracy of the load setting values of each equipment. Simulation results show that, compared with linear scheduling optimization, the deviation between the scheduling results and the actual operation of the system is reduced after considering nonlinear optimization, thus improving the economy, energy conservation, and environmental protection of the system.