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Low-Carbon Economic Dispatch Based On Virtual Power Plant Made Up Of Carbon Capture Unit And Wind Power Considering Single Carbon And Double Carbon

Posted on:2018-04-12Degree:MasterType:Thesis
Country:ChinaCandidate:H SunFull Text:PDF
GTID:2382330548474534Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As a big source of carbon emissions,the power industry is facing huge pressure of carbon reduction,so we need to improve the proportion of clean energy in the power structure,while clean energy includes wind power and carbon capture units.At present,wind power has been vigorously developed,but it is difficult to be directly scheduled on account of its strong intermittency and fluctuation.The output of traditional thermal power units is slow to adjust,and costs under frequent adjustment.When carbon capture unit can quickly change the operation of the capture system,so it can quickly adjust the net output to be the ideal peaking power of wind power.In view of the power structure will continue to be dominated by thermal power in the future of China,the carbon capture unit has attracted much attention.So carbon capture unit can be combined with wind power to promote common development,which is of great significance for energy conservation and emission reduction.The flexible operation characteristics of the carbon capture unit are derived from the carbon capture system,so the operation flow of the capture system is studied in depth,the single carbon model of the capture system is formed for the first time.The wind power-carbon capture virtual power plant,which is made up of a random wind turbine and a flexible carbon capture unit,can realize internal collaborative optimization and participate in grid dispatching as a whole.Taking the maximum net income of the VPP in the electricity market and carbon trading market as the target,the economic optimization dispatch model is constructed by using the proposed model of single carbon.Simulation results of joint operation mode of the VPP show that the VPP can optimize the output arrangement and net carbon emission level of its internal units coordinately,to follow the change of wind power,so the wind power can become a scheduling resource;Compared with the independent operation mode,the carbon emission reduction benefit and economic benefit can both be more higher.The above-mentioned single carbon model is built on the basis of only a single value of the amount of CO2 being processed by the capture system exists,which is not accurate enough.In order to accurately describe the capture process of solvent-storaged carbon capture unit,the amount of CO2 dealing in carbon capture system is modified into the amount of CO2 respectively dealing by stripper and absorber,namely the traditional single carbon be modified into innovative double carbon,then the double carbon model proposed for the first time can be taken as a new unit constraints.To solve the net profit optimization of the VPP in the electricity market and the carbon trading market,the day ahead and real time double-stage optimization decision model is constructed.The day-ahead scheduling results are taken as the declaratory output of the VPP.Under real time scheduling stage,the net output power of the carbon capture unit is amended real-timely,along with contribution of the energy storage battery,to overcome the problem that the actual output of the virtual power plant deviates from its declared value.In the simulation example,the single carbon model and the double carbon model are compared and analyzed.The rationality of the double carbon model is verified.In addition to acquire effects achieved by the traditional single carbon model,the improved double carbon model can obtain other excellent benefits,that is the storage battery capacity allocation will be reduced,also more economical and low-carbon.
Keywords/Search Tags:wind turbine, carbon capture unit, clean energy, virtual power plant, single carbon model, double carbon model, carbon emissions trading, low-carbon economic, double-stage optimization dispatch
PDF Full Text Request
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