考虑CCER收益共享激励火电机组深度调峰的电力系统低碳调度

Low carbon dispatch of power system considering CCER revenue sharing incentive for deep peak-shaving of thermal power units

在新能源大量接入电力系统的背景下,火电机组深度调峰可提高系统灵活性,但会导致火电机组运行成本增加,降低其积极性。基于现有的碳市场相关政策,引入动态收益共享因子,将新能源机组通过绿电上网而获得的国家核证自愿减排量(CCER)收益与火电机组共享以补偿火电机组深度调峰成本,并利用与预期风光出力关联的新能源机组满意度来表征它们在进行共享时的意愿变化情况,从而将CCER收益共享激励火电机组深度调峰融入电力系统调度模型。采用场景法表征风光出力的不确定性,并以系统运行成本最低、碳排放最低为多目标,构建电力系统低碳调度模型。通过改进的IEEE30节点系统进行算例分析,结果表明所提方法能鼓励火电机组深度调峰,降低系统碳排放。

In the context of large-scale integration of renewable energy into the power system,deep peak-shaving of thermal power units can enhance the system flexibility,but it will increase the operating cost of thermal power units and reduce their enthusiasm. Based on the existing relative policies in carbon market, a dynamic revenue sharing factor is introduced,China certified emission reduction(CCER) revenue obtained by the renewable energy units through feed-in of green electricity is shared with the thermal power units to compensate their deep peak-shaving cost,and the satisfaction degree of renewable energy units that are linked with the expected wind and solar power output is used to represent their willingness variation condition when they are sharing,thus CCER revenue sharing incentive for deep peak-shaving of thermal power units is integrated to the dispatch model of power system. The scenario method is adopted to represent the uncertainty of wind and solar power output,and a low carbon dispatch model for power system is constructed with multiple objectives of minimum system operating cost and carbon emission. An improved IEEE 30-bus system is taken for example analysis,and results show that the proposed method can encourage deep peak-shaving of thermal power units and reduce system carbon emission.