碳交易机制下计及冷热电的虚拟电厂优化调度

Optimal Scheduling of Virtual Power Plants Considering Cooling,Heating and Power Under Carbon Trading Mechanism

随着新能源在电力系统中的比例不断增加,新能源出力具有随机性且其成本竞争能力较弱,造成弃风弃光现象。在碳中和的背景下,提出了一种考虑碳交易机制下计及冷热电的虚拟电厂优化调度模型。首先,对参与碳交易市场的虚拟电厂进行定义,对不同设备建立模型;其次,对不同电源的碳交易成本进行分析,以此为基础,引入功率平衡、机组爬坡等约束;以虚拟电厂收益最大为目标,建立考虑碳交易成本的冷热电的虚拟电厂优化调度模型。最后,通过算例分析表明,考虑碳交易能够降低虚拟电厂碳排放,促进新能源的消纳,提高虚拟电厂的经济效益。

As the proportion of new energy in the power system continues to increase,the output of new energy is random and its cost competitiveness is weak,resulting in abandonment of wind and solar.In the context of carbon neutrality,a virtual power plant optimization scheduling model that took into account the cooling,heating and power under the carbon trading mechanism was proposed.Firstly,define the virtual power plants participating in the carbon trading market,and build models for different equipment;secondly,analyze the carbon trading costs of different power sources,and on this basis,introduce constraints such as power balance,unit climbing,etc.;with the goal of maximizing the benefits of virtual power plants,an optimal scheduling model of virtual power plants for cooling,heating and power considering carbon transaction costs was established.Finally,the analysis of calculation examples shows that considering carbon trading can reduce the carbon emissions of virtual power plants,promote the consumption of new energy,and improve the economic benefits of virtual power plants.