Research On Energy Sharing And Optimal Operation Of Virtual Power Plants Considering Multi-energy Complementarit

The new power supply structure based on new energy sources brings great challenges to the safe and economic operation of the power grid.As a kind of interactive business model that combines source-grid-load-storage and other types of energy,virtual power plants can effectively break the geographical restrictions and play a variety of energy advantages to complement each other,which is the backbone of the construction of a new power system.However,the existing virtual power plants have a single business model and weak customer response,and they also face the pressure of low-carbon emission reduction under the "double carbon" target.In this paper,we establish the energy sharing and combined heat and power optimization models for virtual power plants from the perspective of multi-energy complementarity and low carbon respectively.First,from the perspective of demand-side multi-energy complementarity,a virtual power plant is designed to aggregate the resources of generators and consumers,battery storage,etc.In order to fully exploit the demand-side flexibility resources,the remaining energy complementary transactions between generators and consumers are described as energy sharing,and the energy sharing process between generators and consumers is described based on the master-slave game,and the energy sharing model of the virtual power plant considering battery storage is established.The simulation shows that the virtual power plant sharing operator can improve its own revenue through energy sharing;at the same time,it can also increase the benefits of producers and consumers;and under the time-sharing tariff mechanism,the battery storage can reduce the burden on the grid and bring some revenue to the virtual power plant at the same time.Secondly,we further extend the multi-energy complementarity to both sides of the source and load,and establish a joint optimization model for virtual power plants considering carbon capture technology under the goal of "dual carbon" by using the coupling characteristics of the source-side equipment and the flexible response capability of the demand-side.In order to reduce the carbon emissions of the virtual power plant,we use renewable energy to provide carbon capture energy for the carbon capture equipment,which can not only improve the carbon capture capacity of the carbon capture equipment but also promote the consumption of renewable energy;in terms of cost,we quantify the carbon emission cost based on the ladder carbon trading mechanism,and reduce the output of the carbon emission unit through the carbon emission cost,which effectively reduces the carbon emissions generated during the operation of the combined optimization of the virtual power plant.This effectively reduces the carbon emissions generated during the optimized operation of the combined heat and power plant.Finally,in order to further reduce the carbon emissions of the combined heat and power optimization model of the virtual power plant,based on the existing carbon trading mechanism and rules,the carbon trading market was incorporated into the combined heat and power optimization scheduling operation of the virtual power plant,and based on the "cap and trade" principle set by the regulatory unit,an incremental carbon price was established on top of the original carbon price,taking into account the carbon emission rights cap.Based on the "cap-and-trade" principle set by the regulator,an incremental carbon price was established based on the original carbon price,taking into account the cap.In addition,in actual operation,the carbon capture efficiency of carbon capture equipment is affected by multiple factors such as flue gas piping,flue gas composition,absorption solvent,and ambient temperature.Therefore,a linear robust optimization model is constructed by considering the carbon capture amount as a random quantity,which makes the solved scheduling plan more robust and realistic.