【摘要】 文章考虑碳排放流和阶梯式碳交易机制，提出了优化调度模型以促进配电网低碳经济运行。该模型首先考虑配电网参与碳交易市场，引入碳排放流理论得到配网内各节点的碳排放情况；然后，提出利用蒙特卡洛算法得到电动汽车的随机状态，基于熵权法得到发电设备的碳配额情况。同时构建电动汽车的碳配额模型，并结合阶梯式碳交易机制建立电动汽车、光伏、风力和火电机组的碳排放模型；最后，以最小化系统运作成本和最大化系统碳收益为双目标，使用改进的PSO优化算法对系统进行求解。设置了4种运行场景对改进的IEEE-33节点配网系统进行算例仿真。实验结果表明，所提模型碳排放减少539.43 t、消纳量增加555.27 kW·h、系统碳收益增加7 962.79元。更多还原

【Abstract】 Under the context of "dual carbon," an optimization scheduling model considering carbon emission flow and staged carbon trading mechanism is proposed in this paper to promote the low-carbon economic operation of distribution networks. Firstly, the participation of distribution networks in the carbon trading market is taken into account, and the theory of carbon emission flow is introduced to determine the carbon emission status of each node within the distribu-tion network. Subsequently, the stochastic states of electric vehicles are determined using the Monte Carlo algorithm, and the carbon quota of power generation equipment is obtained based on the entropy weight method. Simultaneously, a carbon quota model for electric vehicles is constructed, and a staged carbon trading mechanism is applied to model electric vehicles,photovoltaic units, wind power generation, and thermal power units. Finally, the system is optimized using an improved particle swarm optimization algorithm, with the objectives of minimizing the system operating cost and maximizing the system carbon income. The proposed model is verified through case studies conducted on an im-proved IEEE-33 node distribution network system, where four operating scenarios are set. The research results demon-strate that the proposed model reduces carbon emissions by 539.43 tons, and the amount of wind and light discarded is reduced by 555.27 kW·h, which also makes the system’s carbon revenue increase by79.627 9 yuan.更多还原