Optimal Scheduling Of Combined Heat And Power In Virtual Power Plant Containng Carbon Capture Unit

The "Three North" region of our country is rich in new energy resources.It has not only deployed a number of scenic new energy power generation bases,but also has great potential for new energy development.However,the wind-scenery new energy power output has the characteristics of difficult to predict,large fluctuation range and intermittent change,so that large-scale new energy power grid connection will pose a threat to the security and stability of the grid.In the "Three North" region,the winter heating work is usually completed by cogeneration units,whose output should give priority to meet the heat load needs,resulting in the unit’s forced power supply output has been maintained in a high state,which reduces the flexibility of the unit and seriously affects the virtual power plant’s ability to absorb new energy,while the coal-fired unit carbon emissions problem still needs to be solved.To realize the flexible and low-carbon operation of virtual power plants is an important goal of electric power low-carbon transition,and carbon capture technology and corresponding demand response mechanism are the key means to achieve this goal.In this paper,the coordinated control of virtual power plant is realized.Based on the combined heat and power scheduling,the combined heat and power scheduling is optimized for carbon capture units.Firstly,this paper proposes the introduction of carbon capture equipment and electric boilers based on thermal power plants,wind farms,and photovoltaic power stations.At the same time,the aggregation of demand-side resources is considered to optimize scheduling as a virtual power plant.Based on the resource composition and operational principles of the virtual power plant,a combined heat and power scheduling model for virtual power plants considering carbon capture and demand response was established,and an adaptive immune genetic algorithm is applied to solve it.The results show that the proposed scheduling strategy can achieve the goal of reducing carbon emissions by coordinating resources on both sides of the source and load while improving the system’s ability to consume new energy and total revenue.Secondly,in order to improve the utilization rate of carbon capture equipment and enhance the depth peaking capacity of virtual power plant,solution storage and incentive demand response are considered.A low carbon scheduling method considering the energy time-shift characteristics of comprehensive flexible operation mode of carbon capture thermal power plant and zero-carbon characteristics of incentive demand response was designed.Aiming at the highest overall economic benefit of virtual power plant,a virtual power plant combined heat and power optimization scheduling model considering comprehensive flexible operation mode of carbon capture power plant was established.The simulation results show that the introduction of solution memory can effectively improve the depth peaking capacity of the virtual power plant,and verify that the excitation type demand response can be used as a zero-carbon virtual output to make up for the possible load loss caused by the operation of carbon capture equipment,so as to significantly improve the economy and low carbon of the system.Finally,based on the research in Chapter 2 and Chapter 3,a virtual power plant combined heat and power optimization scheduling model considering the uncertainty of carbon capture unit and source load is proposed.The model includes thermoelectric unit,wind power,photovoltaic,carbon capture equipment,solution storage and electric boiler,and is supplemented by demand response mechanism.The simulation results show that,under the premise of considering the uncertainty of wind power,photovoltaic power output and electrical load,the comprehensive flexible operation mode of carbon capture thermal power plant can significantly improve the economy,flexibility and low carbon of virtual power plant by introducing electric boiler equipment and incentive demand response mechanism,and effectively improve the wind abandonment and carbon emission.In addition,when thermal comfort is considered,the downward peak adjustment space of thermoelectric units is increased,the flexibility of virtual power plant is improved,and the consumption level of renewable energy is improved.After considering the green certificate system,the economic benefit of virtual power plant is greatly increased.