摘要
碳达峰碳中和目标的确立推动了电力系统降碳脱碳,传统煤电厂同时面临着碳排放成本上升的压力和新能源涌入电力市场的挑战。因此,建立煤电的运行成本模型和风电的投资成本模型,以典型日总收益最大化为目标,构建燃煤-风力发电系统的日前低碳经济优化调度模型,求解得出最大典型日总收益和最佳优化调度方案。旨在通过投资风电的方式帮助煤电厂降低碳排放量和度电成本,提高煤电的市场竞争力。对比分析煤电单独供电、风电优先输出与煤电-风电优化协同出力3种情景的收益与成本,发现煤电-风电优化协同出力情景相比煤电单独供电情景减少了32.59%的煤耗量和32.68%的碳排放量,增加收益35.33万元,收益涨幅约20.43%,相比风电优先输出情景减少了25.67%的爬坡量。该优化调度方案通过协调煤电和风电的出力关系,使煤电、风电优势互补,提升了发电系统的综合效益。
Carbon peaking and carbon neutrality goals promote the power system to reduce carbon emissions.Traditional thermal power plants are facing both the pressure of carbon tax and the challenge of new energy flooding into the power market.Therefore,the operating cost model of coal power and the investment cost model of wind power are established,and a day-ahead low-carbon economic optimal dispatch model of thermal-wind power system is constructed with the objective of maximizing the typical daily total revenue,which is solved to derive the maximum typical daily total revenue and the best optimal dispatch scheme.The aim is to explore the ways to help coal plants reduce carbon emissions and levelized cost of electricity by investing in wind power,and to improve the market competitiveness of coal power.Then,the revenues and costs of three scenarios(thermal power output,wind power priority output,and thermal power-wind power optimization synergy)are compared.Compared with thermal power output,the coal consumption and carbon emission of thermal power-wind power optimization synergy would reduce by 32.59%and 32.68%respectively,and the revenue would increase by 353,300 Yuan,about 20.43%.Compared with wind power priority output,the thermal power units ramp of thermal power-wind power optimization synergy would reduce by 25.67%.The low-carbon economic optimal scheduling model can increase the total revenue of thermal-wind power generation system by coordinating the output relationship between thermal power and wind power to make the advantages of thermal power and wind power complement each other.
作者
邵文才
延星
李鹏
张涛
孙锋
马君华
SHAO Wencai;YAN Xing;LI Peng;ZHANG Tao;SUN Feng;MA Junhua(Wuxi University,Wuxi 214105,Jiangsu Province,China;Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu Province,China;Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education,School of Automation and Electrical Engineering,University of Science and Technology Beijing,Haidian District,Beijing 100083,China;Jiangsu Ah Commercial Energy Storage System Co.,Ltd.,Nanjing 210005,Jiangsu Province,China;Energy Internet Research Institute Tsinghua University,Haidian District,Beijing 100084,China)
出处
《全球能源互联网》
CSCD
2023年第4期428-436,共9页
Journal of Global Energy Interconnection
基金
无锡学院引进人才科研启动专项经费资助(局域能源网交易机制研究,2022r023)。
关键词
碳达峰碳中和
优化调度
度电成本
综合效益
煤电-风电优化协同出力
carbon peaking and carbon neutrality
optimal scheduling
levelized cost of electricity
comprehensive benefits
thermal power-wind power optimization synergy