Research On Optimal Dispatch Of Electricity-Heat-Gas Integrated Energy System With The Consideration Of Carbon Trading Mechanism

With the increasing attention paid to environmental issues,sustainable development centered on low-carbon economy has become the common pursuit of the energy industry.The integrated energy system,which contains types of energies such as electricity,natural gas,and heat,has important significance in promoting the consumption of renewable energy and the reduction of carbon emissions.Therefore,this thesis focuses on the optimal scheduling problem of current integrated energy system.From three aspects:energy supply side,decarbonization equipment,and energy demand side,the optimal dispatch problem of electricity-gas-heat integrated energy system has been investigated with the consideration of the best economics,the uncertainty of renewable energy and carbon trading mechanism.In this thesis,the mainly contributions are provided as following.Firstly,the thesis models the electric-thermal-gas integrated energy system and analyzes the carbon trading market mechanism.It analyzes the operating characteristics of the main components of the integrated energy system from the energy supply,energy conversion,and energy storage links,and establishes a mathematical model.On the energy demand side,the thesis introduces demand response mechanisms and models three different types of demand response: price-based,incentive-based,and substitution-based,and analyzes the impact of demand response on system scheduling.The paper also analyzes and compares the two carbon trading mechanisms in the carbon trading market.Secondly,for the reduction of the renewable energy uncertainty and carbon emissions in the system,this thesis starts from the energy supply side and demand side.The thesis uses the wind-solar joint output typical scenario generated by the kernel density estimation method and Copula function as the input of the renewable energy system.Based on the above demand response model and carbon trading mechanism,with the considersion of comprehensive demand response load consisting of load shedding,load shifting,and load substitution,the thesis establishes a comprehensive energy system optimization and scheduling model that takes into account the stepwise carbon trading mechanism.The simulation analysis shows that the model greatly reduces the carbon emissions of the comprehensive energy system,improves the consumption of renewable energy,and achieves coordination between peak shaving and valley filling,low-carbon emissions,and economic benefits.Finally,for further reduction of carbon emissions,this thesis introduces carbon capture and conversion equipment from the perspective of carbon reduction equipment and builds a new carbon capture and coupling equipment model,which is then extended to the above-established electric-thermal-gas integrated energy system.Additionally,the thesis introduces the information gap decision theory to deal with the multiple uncertainties in optimization and scheduling,and establishes a comprehensive energy system optimization and scheduling model with a new carbon capture and coupling equipment based on the information gap decision theory.The simulation analysis shows that the model can provide a new way for the reuse of carbon dioxide,reduce carbon emissions,and make the operation and scheduling model of the integrated energy system more flexible.By optimizing the uncertainty deviation parameters through the information gap decision theory,different scheduling strategies can be obtained,which provides more flexible options for system decision-makers to deal with various uncertainties and related risks.