【摘要】 针对现有碳交易机制采用固定价格刻画单一利益主体的交易行为，无法反映多利益主体在碳市场的博弈竞争关系，以及园区综合能源系统(PIES)中碳排放特性难以精准表达而无法有效引导用户节能减排的问题，提出了一种基于纳什议价模型的PIES低碳优化调度模型。首先，通过构建考虑储能设备的扩展碳排放流模型，实现对PIES源-网-荷-储全过程碳排放流动路径的精确描述。基于此，在园区内部构建基于节点碳势定价机制的需求响应模型，利用节点碳势的时空分布差异，引导用户改变其用电行为，实现节能减排；其次，在多个园区之间，基于合作博弈的思想，采用纳什议价模型刻画各利益主体参与碳交易市场的博弈过程。最后，通过对电网14节点-热网6节点-天然气网6节点(E14-H6-G6)测试系统的分析，验证了所提模型可有效刻画各利益主体参与碳交易市场的博弈竞争关系，并利用节点碳势的时空分布特性引导用户节能减排，提高PIES运行的低碳性。更多还原

【Abstract】 The existing carbon trading mechanism adopts the fixed price to portray the trading behaviors of single interest subject,which is unable to reflect the competitive relationship of multiple interest subjects in the carbon market, and is difficult to accurately express the characteristics of carbon emission in the park-level integrated energy system(PIES) to effectively guide the users to save energy and reduce carbon emission. Aiming at the above problems, this paper proposes a low-carbon optimal dispatch model based on Nash bargaining model. Firstly, an extended carbon emission flow model considering energy storage equipment is constructed to realize the accurate description of the carbon emission flow path in the whole process of source-grid-load-storage in PIES. Based on this, a demand response model based on the pricing mechanism of node carbon potential is constructed within the park, and the spatial and temporal distribution differences of the node carbon potentials are used to guide users to change their electricity consumption behaviors, which achieves energy saving and emission reduction. Secondly, a Nash bargaining model is used between multiple parks to depict the gaming behaviors of each interest subject participating in the carbon trading market based on the idea of cooperative gaming. Finally, through the analysis of a test system consisting of 14-bus power grid, 6-node heat network and 6-node natural gas network(E14-H6-G6), it is verified that the proposed model can effectively portray the competitive relationship of the game, in which each interest subject participates in the carbon trading market and utilizes the temporal and spatial distribution characteristics of the nodal carbon potentials to guide the users to save energy and reduce emissions, so as to improve the low-carbon nature of the PIES operation.更多还原