考虑源荷不确定性的风光火储系统低碳经济调度

为提高以新能源为主体的新型电力系统运行的低碳经济性和能源利用率，提出一种考虑源荷不确定性的风光火储发电系统低碳经济调度模型。将碳交易成本引入传统经济调度中，细化碳排放源；用随机机会约束处理源荷两侧不确定性；立足供给电源侧资源禀赋来改善清洁能源的波动性和消纳率。以IEEE 30节点系统进行算例分析，通过随机模拟粒子群算法对模型进行求解，结果证明所提调度模型可减少碳排放量、提升系统的经济运行、促进新能源消纳。

Low-carbon Economic Dispatch of Wind-solar-fired-storage System Considering Source-load Uncertainty

In order to improve the low-carbon economy and energy utilization rate of new power system with new energy as the main body，a low-carbon economic dispatch model for wind-solar thermal storage power generation system is proposed considering the uncertainty of source and load. Carbon transaction costs is introduced into traditional economic dispatch to refine carbon emission sources. Random chance constraints is used to deal with uncertainties on both sides of the source and load. The volatility and consumption rate of clean energy is improved based on the resource endowment on the power supply side. The IEEE30-bus system is used to analyze an example， and the model is solved by stochastic simulation particle swarm algorithm. The results prove that the proposed scheduling model can reduce carbon emissions，improve the economic operation of the system and promote the consumption of new energy.