价格接受模式下发电集团电-碳协同交易决策优化方法

Decision Optimization Method for Electricity-Carbon Collaborative Trading Under Price-taking Mode for Power Generation Companie

随着“双碳”目标的提出以及全国碳排放权交易市场拉开序幕,发电集团面临着同时参与电力市场及碳排放权交易市场所带来的决策协同问题。首先,通过剖析电力市场与碳市场的耦合机理并计及两类市场结算履约规则,在价格接受模式下,提出一种混合型发电集团参与电-碳市场的年-周-日多尺度耦合协同决策机制和优化模型。然后,结合现行市场交易环境和实际数据,进行了多市场协同决策的仿真模拟,验证了决策模型的可行性。同时,为有效量化决策的优劣,针对决策结果的经济性、低碳性、稳定性,构建了一套电-碳市场协同决策评价指标体系。针对不同的市场机制、碳价水平及决策模式,做出了进一步仿真模拟及对比分析。研究结果表明,开展电-碳协同交易是发电集团实现低碳发展的经济化手段,同时,政府部门需结合发展的不同阶段动态调整控排政策。

With the proposal of the“carbon emission peak and carbon neutrality”goal and as the China carbon emission trading market kicks off,the power generation companies face the decision-making collaboration problem of participating in both the electricity market and the carbon emission trading market.First,by analyzing the coupling mechanism between the electricity market and the carbon emission trading market and taking into account the settlement and compliance rules of both markets,in the price-taking mode,this paper proposes an year-week-day multi-scale coupling collaborative decision-making mechanism and optimization model for hybrid power generation companies participating in the electricity-carbon market.Then,combined with the current market trading environment and actual data,the simulation of collaborative multi-market decision-making is carried out to verify the feasibility of the decision-making model.Meanwhile,in order to effectively quantify the advantages and disadvantages of the decision-making,an evaluation index system of the electricity-carbon market collaborative decision-making is constructed for the economy,low-carbon and stability of the decision-making results.Finally,in view of the different market mechanisms,carbon price levels and decision-making models,further simulation and comparative analysis are carried out.The research results show that the electricity-carbon collaboration is an economic means for power generation companies to achieve low-carbon development,and the government departments need to dynamically adjust control and emission policies according to different stages of development.