Optimal Scheduling Of Virtual Power Plants In A Multi-market Cooperative Framework For Electric-heating-gas-carbon Energy

In order to achieve great strategic goal of carbon neutrality by 2060,the integration of new energy into the grid has become a necessity.With the increase in the proportion of renewable energy power generation and the access of electric vehicles and other loads,it will have a non-negligible impact on the stable operation of the power grid.The virtual power plant can effectively realize the stable access of new energy to the grid,reduce the deviation impact caused by the fluctuation of new energy,and at the same time,the coupling supply of multiple energy sources increases the flexibility and economy of the virtual power plant,and reasonably coordinates the power of the equipment on both sides of the source and load to achieve Power balance.This thesis focuses on the optimal scheduling problem of virtual power plants with generalized energy storage under the multi-market synergy of electricity-heat-gas-carbon.The main work is as follows:（1）Explore the internal aggregation unit and modeling of the virtual power plant,and divide it into two parts for analysis and modeling.The source part mainly includes wind and solar distributed power generation equipment,gas turbines,gas boilers,and waste heat boiler equipment,and the load part includes fixed energy load and generalized energy storage;elaborate on electric vehicles,alternative response loads and air conditioners in generalized energy storage,describe the travel characteristics of electric vehicles,and obtain their off-grid and trip probability density functions;Load classification,this thesis mainly includes electric-gas alternative load and electric-heat alternative load,describes its transformation model and principle;expounds the air-conditioning thermal model,human comfort model,and economic incentive model,within the scope of human comfort,using segmented incentives for regulation;laying a solid foundation for the optimal scheduling of virtual power plants below.（2）Aiming at the optimal scheduling problem of virtual power plants with generalized energy storage in the power market,different processing strategies are used for a pair of generalized energy storage devices,and the Latin hypercube is used to sample the off-grid time and the number of trips of electric vehicles.Clustering characteristic electric vehicles,constructing virtual energy storage for aggregated electric vehicles,using electric vehicles and alternative response loads and energy storage to cooperate in the day-ahead market to realize the time and space transfer of multiple energy sources,and achieve cost reduction and peak shaving and valley filling.Second,considering the functional deviation caused by the randomness of renewable energy sources such as wind and solar,the time decoupling strategy is adopted for air-conditioning,so that the virtual energy storage scheduling of air-conditioning in each scheduling time is not related to each other,and its rapid response capability and independent scheduling characteristics are used to stabilize wind and wind inconsistencies.The energy supply deviation of the virtual power plant brought about by the certainty,the minimum daily operating cost is used as the objective function to establish a robust optimization model of the virtual power plant with generalized energy storage in the electricity market.The improved Column Constraint Generation（C＆CG）is used to reduce the computational complexity of the robust optimization algorithm and improve the computational efficiency.The calculation example shows that the generalized energy storage synergy can effectively cut peaks and fill valleys,stabilize energy supply deviation,and finally reduce the operating cost by 16.34%.（3）Research on the optimal scheduling of virtual power plants with generalized energy storage under multi-market coordination.With the proposal of carbon peaking and carbon neutrality goals,various parts of my country have established their formal carbon trading markets,and carbon trading has gradually entered the right track.This paper introduces The carbon trading market,through the aggregation of coupling equipment such as gas turbines,boilers,and power-to-gas,enables virtual power plants to actively participate in the market as prosumers in the electricity-heat-gas-carbon multi-market,and for the current high operating costs of power-to-gas equipment,considering its reaction waste heat in the heat market and proposing a carbon trading market incentive mechanism for power-to-gas equipment to increase the profit source after the virtual power plant aggregates power-to-gas equipment;the final example results verify the effectiveness and feasibility of the model proposed in this thesis,and more It realizes the optimal configuration of multiple energy sources,increases revenue,and greatly reduces the optimal operation cost of virtual power plants.At the same time,the robust model of multi-energy virtual power plants is conducive to taking into account system scheduling costs and power supply reliability.