Electric-coupled Integrated Energy Planning Based On Carbon Trading Mechanism

In recent years,with the continuous increase of extreme climate,the rational and optimal use of energy is an important research problem to solve the future development of energy supply.Integrated power system provides a way to solve,such as using gas turbine power technology,to ensure energy security and contribute to the coupling operation of energy and gas grid networks,and integrated planning of the energy system through a variety of energy conversion equipment,to achieve the efficient use of energy,the work for double carbon provides a path of sustainable development.In this thesis,based on the comprehensive energy planning model and on the basis of meeting the needs of users,the system equipment capacity can be rationally allocated and planned to reduce the carbon emissions of the system and improve the economy of the system operation.The specific research contents are as follows:First,build the integrated energy system infrastructure,to establish the gas power generation equipment,Dian Zhuan device,gas boiler equipment,storage equipment,machine equipment,the mathematical model of solar power equipment and power network and gas networks and electrical coupling links,lay the foundation for the research of electrical coupling integrated energy planning.Secondly,in view of the economy and environmental protection of the energy system,the comprehensive cost model of the energy system planning and the carbon transaction cost model are established.Considering the investment cost,the operational cost and the cost of carbon emission of the planning,the objective function of the minimum total cost is established,and the basic algorithm of optimization of particle swarms is used to optimize the solution.Finally,the test function is used to verify the improved particle swarm optimization algorithm,and the optimal value is obtained to prove the resolution capability of the improved algorithm.The user-side cooling,heating,and electrical charge demand is analyzed,and the electricity-coupled power hub model is solved by the power flow algorithm to verify the stable operating state of the system under the electrical coupling.The improved optimization algorithm was used to solve the optimal equipment capacity planning scheme of the system equipment,transmission lines and natural gas pipelines.Three scenarios were defined to optimize and solve the planning model in this thesis,and the impacts of carbon cost and photovoltaic generation scale on the planning results in the three scenarios were analyzed to verify the effectiveness of the mode.