Research On Optimal Dispatch Of Integrated Energy System Considering Carbon Capture And Demand Response

Under the background of"double carbon"target,energy saving and emission reduction have become the unified direction of the energy industry,and the traditional single energy system is gradually developing into an integrated energy system（IES）with multi-energy coupling characteristics.It is of great practical significance for clean,efficient and low-carbon utilization of energy.In recent years,the installed capacity of wind power has been rising every year,and its uncertainty and the large amount of wind power connected to the grid have widened the load peak-to-valley difference.Therefore,the introduction of integrated demand response（IDR）mechanism into IES is particularly important,not only to achieve"peak and valley reduction",but also enable the stable operation of the integrated energy system and reduce the overall carbon emissions of the system.At the same time,carbon capture technologies that can absorb and convert CO₂ can further reduce IES carbon emissions,and carbon markets,as a mandatory market instrument,can also promote global action to reduce emissions.Based on the above background,the IES optimal dispatch problem considering carbon capture and integrated demand response is studied as follows:Firstly,the basic structure of the integrated energy system studied in this paper is analyzed.The flow path of each energy flow is analyzed from the energy supply side,through the energy conversion equipment,and then to the energy demand side;the working principle and operation mode of each equipment in the system are analyzed and the corresponding mathematical models are established;the definition of integrated demand response is studied and two response mechanisms,interruptible and transferable,are listed;the advantages of integrated demand response and electricity-to-gas（methanol）devices in the system are combined and analyzed to promote wind and light The mechanism to promote wind and light consumption,achieve low-carbon operation and enhance economic efficiency is analyzed.Secondly,the optimal scheduling of integrated energy system considering IDR and its uncertainty is studied.Based on the principle of consumer psychology and considering the uncertainty of transferable load in IDR,a multi-objective load optimization model is developed with the objectives of minimizing the difference between the internal electricity selling price and the initial electricity selling price of the system and maximizing the sum of the lower bound of the load transfer rate under peak and valley hours,peak and normal periods and flat hours.The NSGA-II multi-objective algorithm was used to solve the Pareto front solution set,and the entropy weight method-TOPSIS method is used to filter out the Pareto front solution set,so as to obtain a reasonable integrated energy system internal electricity sales tariff.Combining the obtained optimized tariff and optimized load curve,the optimized dispatch model of source-load coordination of integrated energy system is constructed with the objective of system economic optimization.The validity of the proposed model is verified through the analysis of calculation cases.Finally,the optimal scheduling of the integrated energy system based on carbon capture in the carbon trading market is studied,and the carbon capture equipment is stimulated to capture carbon by the change of carbon price in the carbon trading market.The daily economic cost and daily operation conditions of the integrated energy system under five scenarios considering no carbon trading,static carbon price,stepped carbon price,real-time carbon price and real-time stepped carbon price are analyzed,and sensitivity analysis is performed for carbon trading price,carbon treatment cost,carbon emission interval and stepped growth rate.The validation of the proposed model is verified by different scenarios analysis.