Optimal Scheduling Of Electric And Heating Integrated Energy System Considering Demand Response

With the growing global demand for energy,challenges such as environmental issues and depletion of energy resources have become increasingly urgent.Therefore,constructing a clean,low-carbon,safe,and efficient new energy system to reduce pollution caused by energy production,transportation,conversion,and consumption has become one of the major challenges facing China’s new energy industry.Integrated energy systems can promote the hierarchical utilization of energy and the coordination and complementarity of multiple energy sources,which has an important role in promoting the integration of clean energy and reducing carbon emissions.This paper focuses on the economic optimization and scheduling problem of integrated energy systems,exploring the following research areas:Firstly,let us introduce the basic concept and research background of integrated energy systems,focusing on the research status of its operation and planning.Secondly,we construct a steady-state mathematical model based on the basic structure of integrated energy systems,including cogeneration systems,gas boilers,power-to-gas equipment,cooling equipment,and multi-source energy storage equipment.Finally,we propose a master-slave game model and explore the corresponding treatment methods,laying a solid foundation for future research work.We constructed a master-slave game model with energy operators as leaders and energy producers and users as followers.The game was played based on energy prices,and a Sparrow Search Algorithm was used to solve the system’s operating strategy.The algorithm was verified through case analysis,showing that it has fewer iterations and can effectively avoid local optima.Additionally,users actively participated in energy scheduling,reducing their own energy costs.Addressing the actual situation of the difference in accuracy of wind power prediction at different time scales and the difference in incentive load response capabilities,this paper combined the optimized electric and thermal load curves obtained in the previous work and established a multi-time scale scheduling model for integrated energy systems with the objective of minimizing the total operating cost and environmental cost.Simulation results showed that through the coordinated scheduling of the "day-ahead-day-of-real-time" three-time scales,the adjustment capabilities of various flexible loads can be fully utilized,relieving the fluctuations of renewable energy output and achieving the effect of coordinated abandoned wind consumption.