Research On Energy Multi-type Trading Strategy Of Integrated Energy System Based On Robust Optimization

As a carrier of distributed power supply,coupling equipment and multi-energy loads,an integrated energy system can realize energy conversion,storage,and redistribution and has good development prospect and utilization value.However,the uncertainty of energy price and demand poses great challenges to the energy management of integrated energy systems.Therefore,it is of great significance to study energy trading strategy in uncertain environment for integrated energy system.Based on this,this paper proposes an energy multi-type trading strategy of an integrated energy system based on robust optimization.The specific research is as follows:Firstly,aiming at the typical energy hub system with cogeneration units,power storage,and heat storage devices combined with the operation constraints of the power network and regional heating network,an integrated energy system model based on an energy hub is established,and the market trading mechanisms of power,natural gas,and carbon trading are introduced in detail.Secondly,in view of the uncertainty of electricity price and demand in the energy trading process,based on the credibility theory,a multi-objective fuzzy chance-constrained model considering risk aversion is established by taking spot price,electricity load,and heat load as fuzzy variables.On this basis,considering the constraints and coupling characteristics of electric and thermal networks,an optimal operation model of an integrated energy system for simultaneous trading of electricity and natural gas is constructed.The fuzzy chance constraints are transformed into deterministic robust optimization constraints by using clear equivalence classes,and a multi-type energy trading strategy for an integrated energy system based on robust optimization is proposed.Through simulation analysis,it is verified that the model increases the credibility of the expected target realization and avoids the excessive conservatism of traditional robust optimization.Finally,in view of the contradiction between the economy and low carbon energy trading,the carbon trading mechanism is introduced to construct a ladder-type carbon trading model considering rewards and punishments,and a multi-time scale trading strategy of an integrated energy system considering ladder-type carbon trading is proposed.In the day-ahead stage,a robust trading model of an integrated energy system considering ladder carbon trading is established to maximize the robust credibility of the expected goal.In the intra-day stage,an intra-day rolling optimization model of an integrated energy system based on model predictive control is established to modify the day-ahead energy trading strategy and scheduling plan.The simulation results show that the proposed method can effectively guide the integrated energy system to reduce carbon emissions,correct the day-ahead energy trading plan,and achieve the balance between energy management economy and low carbon in the integrated energy system.