计及绿证-碳交易的源荷分布鲁棒优化调度

Optimize the scheduling of the source and load of the blue rod taking into account the green certif-icate-carbon transaction

针对电力系统面临风电消纳困难、调节能力短缺的问题,文章建立了计及绿证-碳交易的源荷分布鲁棒优化调度模型。首先,在电源侧引入绿色证书交易机制和碳交易机制以提升风电上网功率,在负荷侧引入高载能负荷以提高系统调节能力;其次,为了减小风电出力不确定的影响,采用数据驱动的分布鲁棒方法,通过风电出力历史数据构建概率分布不确定集,进而寻找最恶劣的场景进行优化,利用列约束生成算法求解;最后,基于IEEE 39节点系统进行算例验证。结果表明,通过整合源荷双侧可调节资源进行协同优化,可以在促进风电消纳的同时保证电力系统具有良好的调节能力。

In response to the difficulties faced by the power system in wind power consumption and the shortage of regulation capacity,this article establishes a robust optimization scheduling model for source load distribution that takes into ac-count green certificate carbon trading.Firstly,green certificate trading mechanism and carbon trading mechanism are introduced on the power supply side to enhance the grid connected power of wind power,and high load capacity is introduced on the load side to improve the system regulation capability;Secondly,in order to reduce the impact of un-certain wind power output,a data-driven distributed robust method is adopted to construct a probability distribution uncertainty set based on historical wind power output data,and then optimize the worst-case scenario using column constraint generation algorithm;Finally,based on the IEEE 39 node system,the verification results show that by integrating adjustable resources from both the source and load sides for collaborative optimization,it is possible to pro-mote wind power consumption while ensuring good regulation capability of the power system.