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作 者:乔丰翔 陆涛 周晓鸣 QIAO Fengxiang;LU Tao;ZHOU Xiaoming(EHV Branch of State Grid Shanghai Electric Power Company,Shanghai 200063,China;Ningbo Power Supply Company,State Grid Zhejiang Electric Power Co.,Ltd.,Ningbo 315000,China)
机构地区:[1]国网上海市电力超高压分公司,上海200063 [2]国网浙江省电力有限公司宁波供电公司,浙江宁波315000
出 处:《电力需求侧管理》2024年第5期106-112,共7页Power Demand Side Management
基 金:国网上海市电力公司科技项目(520934230005)。
摘 要:随着碳市场和电力市场的日益发展与不断推进,发电商准确把握自身的碳-电耦合特性,并基于此在电力交易和碳交易中竞价将会显著提升自身收益。重点关注在中长期交易尺度下考虑碳-电联合的发电商竞价策略模型,提出了火电发电商的中长期碳-电联合竞价模型。此外,为应对中长期时间尺度造成的预测误差,提出了一种滚动优化方法,在竞价过程中定期修正实际碳排放量和碳配额余量的偏差。算例结果验证了该模型和策略的有效性,考虑碳-电联合优化会大幅度降低竞价发电商的碳配额购买成本,提升企业利润。With the growing development and advancement of the carbon and electricity markets,power producers should accurately capture their own carbon and electricity coupling characteristics.Based on this,bidding for power trading and carbon trading can observably enhance their returns.A model that considers the joint carbon and electricity bidding strategy of power producers in the medium and longterm trading scale is foucused on.A medium-and long-term carbon-electricity joint bidding model for thermal power producers is proposed.In addition,a rolling optimization method is proposed to cope with errors in medium-and long-term time-scale forecasts.The error between actual carbon emissions and carbon allowance margins is periodically revised during the bidding process.The case studies validate the effectiveness of the model and strategy,and the consideration of joint carbon-electricity optimization will substantially reduce the purchase cost of carbon allowances for the bidding power producers,and thus enhance corporate profits.
分 类 号:TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]
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