Research On Optimal Scheduling Of Integrated Energy System Considering Demand Response

The sustained and rapid development of the global economy make it difficult for the limited fossil energy resources to supply the growing energy demand.Therefore,it is urgent to find an energy supply mode that can stimulate the energy supply potential of the energy system.The integrated energy system focuses on the complementary advantages of various heterogeneous energy sources and the deep integration of diverse energy supply equipment,which is now a research hotspot to promote energy reform.How to provide integrated solutions for integrated energy system,establish interactive optimal scheduling model between supply and demand,and study collaborative optimization methods between different time scales are very important to fully explore the potential of cost reduction and efficiency increase of integrated energy system.Therefore,this paper first establishes a optimal scheduling model considering demand response.This model is based on integrated energy system.Among them,the demand response mechanism can reshape the price signal so that both the supplier and the demander can benefit from it.By designing a reasonable pricing mechanism,it can stimulate the enthusiasm of users to participate and realize the interaction between the supplier and the demander.The lower level optimal scheduling pursues the minimization of demand side cost.The optimal scheduling of the upper layer should maximize the revenue of the energy supply side.When solving the established model and dealing with the nonlinear and non convex terms in the model,the KKT(karush Kuhn Tucker)condition,the big M method and Mc Cormick envelope are used to relax and convexity the bilevel model,in order to obtain a model that can be solved efficiently by a commercial solver.Finally,three numerical examples are used to verify the effectiveness of the model and method.The results show that the implementation of demand side response mechanism can not only stimulate the enthusiasm of users to participate,save the operation cost of the system,but also improve the revenue of the supply side.The bilevel optimal scheduling of supply and demand can realize peak shaving and load reduction,promote the rational use of electric energy,and make the benefits of both energy supply side and demand side.Secondly,aiming at the limitation of scheduling only on a single time scale,this paper carries out the research on two-levels coordinated energy management based on multi-time scale.The first level optimal scheduling establishes equipment operation constraints and node energy balance constraints by introducing demand response mechanism,and takes minimizing cost as the objective function.The second level optimal scheduling is based on the model predictive control algorithm,takes the first level optimal scheduling plan as the reference trajectory,takes the minimum correction deviation of active power output and the minimum active power regulation as the objective function,and constantly adopts the actual measured values of the system for feedback correction and rolling optimization.Finally,the effectiveness of the proposed model and method is verified by simulation experiments.The results show that the twolevel rolling optimal scheduling based on multi-time scale can quickly track the expected value and gradually refine and improve the scheduling plan by using the dynamic adjustment mode of equipment output,which makes the scheduling results tend to be smooth and more conducive to the stable consumption of renewable energy.