计及碳捕集电厂低碳特性的含风电电力系统源–荷多时间尺度调度方法

Multi-time Scale Source-load Dispatch Method of Power System With Wind Power Considering Low-carbon Characteristics of Carbon Capture Power Plant

逐步提升风电等可再生能源发电占比,并对火电机组进行低碳化改造,辅之以多类需求侧资源,是实现能源电力碳达峰、碳中和目标的重要手段。首先,挖掘源荷两侧低碳资源并分析其低碳特性,源侧在碳捕集电厂中装设烟气旁路系统与溶液存储器,形成碳捕集电厂综合灵活运行方式进而与风电协调配合;荷侧调用不同响应速度的价格型、激励型需求响应资源克服多时间尺度下碳捕集电厂综合灵活运行方式的局限,通过源荷资源协调优化,从而提高系统的低碳性能。其次,构建源荷协调的日前—日内—实时3阶段低碳经济调度模型,优化系统的负荷及旋转备用分配计划,并改善失负荷与弃风问题。最后,在改进的IEEE-39节点系统中进行算例分析,结果表明该调度方法能够利用源荷可调节资源的调度优势,实现电力系统低碳经济调度的目标。

Gradually increasing the proportion of wind power and other renewable energy power generation,carrying out low-carbon transformation of thermal power units,and being supplemented by a variety of demand-side resources,contribute important means to achieve the goal of peaking carbon dioxide emissions and carbon neutrality.Firstly,excavated low-carbon resources on both sides of the source and load and analyze their low-carbon characteristics,the source side installs a flue gas bypass system and solution storage in the carbon capture power plant to form the integrated flexible operation mode to coordinate with wind power,the load side used price-type and incentive-type demand response resources with different response speeds to overcome the limitations of the integrated flexible operation mode of carbon capture power plant under multiple time scales,and further improved the low-carbon performance of the system through source-load resources coordination and optimization.Secondly,constructed a day-ahead-intraday-real time three stage low-carbon economic dispatch model of source-load coordination,which could optimize the system load and spinning reserve allocation plan,and improved the problems of load loss and wind curtailment.Finally,the simulation was analyzed in the modified IEEE-39 node system,and the results showed that the scheduling method in this paper could take advantage of the scheduling advantages of source-load adjustable resources to achieve the goal of low-carbon economic dispatch of the power system.