Low-Carbon Economic Dispatch Of Virtual Power Plant Based On Carbon Capture Technology

Due to the worsening of the greenhouse effect,the world is facing severe climate challenges.Committed to attaining the "dual carbon" objective,China has already implemented pathways in a variety of industries,including the chemical industry,energy,and transportation.The carbon emissions of the power industry account for more than 40%of the total carbon emissions of the country,of which 51%comes from thermal energy.Although the development of new energy such as wind power and photovoltaics can to some extent reduce carbon emissions in the power industry,a high proportion of new energy still requires thermal power units to provide system backup capacity to ensure safe and stable operation.Therefore,under the requirements of economic and security,thermal power units cannot be phased out quickly.Retrofitting existing thermal power units with carbon capture and storage technology to reduce carbon emissions is a promising direction.Carbon capture power plants can achieve flexible operation by adjusting operating conditions based on their internal working mechanisms,showing characteristics different from conventional thermal power plants.Combining the advantages of integrated virtual power plant capacity,this paper explores the use of carbon capture power plants to achieve low-carbon economic planning of virtual power plants.How can the flexible operation of carbon capture plants contribute to the integration of new energy and provide the effect of power support services.First of all,in order to explore the effect of flexible carbon capture power plants participating in VPP peak shaving,a virtual power plant including oxygen-enriched combustion power plants,wind farms,photovoltaic power plants and electrolytic cells was built,and the internal energy relationship of oxygen-enriched combustion power plants and the operation mechanism of VPP were analyzed.A low-carbon economic scheduling model of virtual power plant with oxygen-enriched combustion power plant is constructed,and the model is solved by adaptive immune genetic algorithm.The simulation results of the example show that the oxygen-enriched combustion power plant can realize the unit energy time shift through the cooperation of the oxygen storage tank and the electrolytic cell,thus enhancing the peak-shaving ability,effectively eliminating the waste wind and light,and reducing the carbon emissions.In addition,the impact of participation of oxygen-enriched carbon capture plants and post-combustion carbon capture plants in VPP planning is also compared.Compared with post-combustion carbon capture plants,oxygen-enriched carbon capture plants have lower carbon emissions and better coordination of air consumption.Secondly,in order to verify the energy reserve effect of the carbon capture power plant with flexible operation,a cogeneration virtual power plant including the carbon capture thermal power plant,wind farm,photovoltaic power plant and electric boiler was built.The Latin sampling method of hypercube is used to simulate the scene of the next day’s landscape exit,and reserve the rotation reserve according to a certain degree of reliability to ensure the reliability of the system,The goal of optimizing VPP rotating reserve through carbon capture device to provide power reserve is to maximize the expected economic benefits of VPP.The two-level optimization idea is adopted to solve the model through quadratic interpolation and adaptive genetic algorithm.The simulation shows that the auxiliary power reserve of the carbon capture device can balance the VPP rotating reserve and low carbon operation,reduce the waste of wind and light,reduce the cost of rotating reserve,and realize the safe low carbon economic operation of the power system.Finally,a multi-scale optimal scheduling model of virtual power stations including carbon capture stations and wind power stations is established to study the flexibility of carbon capture stations and adjust the rapid configuration of new generation units.Improve the ability of thermal power units to coordinate with wind turbine regulation from two aspects:precision prediction of wind power output at multiple time scales and flexible operation of carbon capture equipment.The CPLEX solver is called on the MATLAB platform to solve the model.The simulation example shows that the thermal power plant can reduce the error through multi-time scale prediction of the data,combine with the rapid adjustment ability of the flexible operation of the carbon capture plant,effectively cooperate with the wind power output,and reduce the waste air and load loss.Achieve low-carbon economic work.