Optimal Dispatch Method Of Integrated Energy System To Improve Wind Power Consumption Capacity

It is subject to the uncertainty of wind turbine output and in the Electricity-heat integrated energy system(EHIES),Combined heat and power(CHP)units have compressed the grid space of wind turbines,and the issue of "wind curtailment" has become a problem that plagues the rapid development of wind power technology.With the development of large-scale energy storage technologies such as Advanced adiabatic compressed air energy storage(AA-CAES)and heat pump(HP)and other electric heating technologies,the problem of "wind curtailment " has been addressed to a certain extent.In addition,in EHIES,thermal inertia such as heating delay and heat transfer loss of the heating network can decouple the CHP unit electrothermally,thereby improving the wind power consumption capacity of the system.Since the new round of power reform in 2015,explore the strategic behavior of different energy supply and consumer entities in the electricity market(heating market)has become the focus of current research.In the context of the Energy Internet and the further opening of the power market,on the one hand,from the three perspectives of "load","network" and "storage",this article proposes an EHIES economic operation method to improve wind power consumption capacity;on the other hand,in EHIES,this article focuses on the differences in the stakeholders of electricity market operator(Electricity market operator,EMO),heating market operator(HEO),and energy station operator(energy station operator,ESO)proposed a two-tier optimal scheduling model with the lowest operating cost of EMO and HMO and the largest economic profit of ESO,the economic behavior of the three in the energy market and the results of price and quantity of electric heating energy were explored.The main research content of this article has the following parts:Firstly,this article presents a basic structure of EHIES,including CHP unit,HP unit and AA-CAES composed of combined electric and heat energy station,wind power(Wind turbine,WT)unit,gas turbine(GT)Units,gas boilers(GB)units,electrical and thermal loads,then it introduced the operating principles of the above components and model the above components;described the principle of user-side load participation in integrated demand response(IDR)and modeled IDR;modeled the energy transmission network--power distribution network(PDN)and district heating network(DHN).Secondly,a two-layer model of electric and thermal energy clearance considering the behavior of ESO,EMO and HMO in the electric and thermal energy market is proposed.The upper layer of the model takes ESO profit maximization as the objective function,and the lower layer of the model takes the power generation cost and heat production cost of EMO and HMO respectively.The minimum is the objective function,and the Lagrange function is constructed through the KKT condition to convert the lower model into the upper model’s constraints for solving.Analyzed the results of the price and energy clearing of electricity and thermal energy in the electricity and thermal energy markets,and the impact of ESO,EMO,and HMO operation scheduling under different scenarios such as different electricity and gas prices,different seasons,and heat load demand.Finally,this article assumes that under the relaxed power market and heating market environment,the electricity market and the heating market are operated by an EMO and an HMO respectively;in EHIES,ESO submits its electricity(heat)offering/bidding prices and quantities to the EMO(HMO)for the purpose of maximizing its own revenue,while EMO(HMO)aims to minimize its production cost,then the price and quantity of electric energy(heat energy)in the day-ahead market have been cleared.Therefore,this paper proposes an EHIES two-tier optimal scheduling model with the lowest operating cost of EMO and HMO and the largest economic profit of ESO to study the profit-oriented ESO’s strategic behavior in the distribution-level electricity market and heating market under the background of energy system integration.The electricity and heating markets are based on an optimal power flow(OPF)problem and an optimal thermal energy flow(OTF)problem to clear their respective markets and determine the energy contract signed with IESO.Then ESO submits the price and quantity of its energy clearing through the expected market clearing results.