Research On Optimization Operation Of Regional Electric-thermal Integrated Energy System With Multiple Participants

At present,under the carbon peaking and carbon neutrality goals,complementary coupling develop rapid.By coordinating and complementing each other can multi-energy achieve optimal energy allocation,further improve energy utilization rate and alleviate energy crisis and environmental pollution.Therefore,it is effective to study the integrated energy system which can promote the coordinated operation of various energy sources.And diversified market participants have emerged and stimulated the development of market transactions.However,the transaction management mechanism between the multi-participants of the system,the study of the uncertainty of the system,the analysis and management of the multifunctional demand side response are still facing problems at present.Therefore,this paper carries out research on market and operation,and the specific work content is as follows:1)Study on optimal operation of electric-thermal integrated energy system with multiple participants in energy and reserve markets.Describe the multiple participants transaction model,and constructs the multi-participants operation transaction model of electric-thermal integrated energy system based on the framework of "coordinated operation and cooperative transaction and balanced market".Combined with the multi-energy coordination operation mechanism,a bilevel stackelberg game model is established for the optimization operation of the system with multiple participants.By analyzing the interaction modes of various energy between the market participants,the pricing and scheduling strategies of the upper level are determined,and the self-scheduling methods of the lower level are formulated,and the balanced interaction strategies between the market participants are obtained.In terms of the solution method,the bi-level stackelberg game model is approximately transformed into a single-level mixed integer linear programming problem by using linearization technology.The optimal results of each participant explain the market equilibrium under the bi-level stackelberg game,the combination of energy and multi-flexible reserve improves the decision-making flexibility of each part of the system,improve the decision-making flexibility of each part of the system,and obtain more benefits.2)Study on two-stage robust optimization of multiple participants transaction electric-thermal integrated energy system.In order to deal with the influence of the randomness of new energy on the system,a two-stage robust optimization method was proposed to ensure the safe operation of the system under the worst conditions,so as to improve the breadth and depth of defense against uncertain problems.On the model,a three-level and two-stage min-max-min mathematical optimization model was established.In the first stage,the day-ahead normal scheduling plan was formulated.The second stage is to test the feasibility of the day-ahead plan under the condition of uncertain parameters.The improved Column and Constraint Generation algorithm was used to solve the two-stage robust optimization model.An example is given to verify that the model can ensure the safe and reliable operation of the system even in the worst scenario.3)Study on multi-time scale coordinated optimal scheduling of electric-thermal integrated energy system considering the demand response of load aggregators.The flexible load of demand response is analyzed and studied,and the price type load model of demand response is established.The incentive type load model of demand response is established by the weight calculation method of demand side response user evaluation index.The interaction framework between the demand response subject and the system control center is constructed.A multi-time scale cooperative optimal model considering the demand response of load aggregators is established.Through examples,the operation management and resource coordination of market participants on both sides of source and load are verified to jointly adjust peak load and reduce the negative impact of wind power prediction errors on different time scales step by step,reduce the amount of abandoned wind in the system,and promote the economic operation of the electric-thermal integrated energy system.