考虑风电预测误差的电-热系统混合时间尺度调度

为了利用热网特性补偿风电预测误差，提出了一种电-热系统混合时间尺度调度策略。考虑到电能和热能传输在时间尺度上的差异性，建立了热网短时间尺度调节模型。在日内调度阶段，将指令周期分为长时间尺度和短时间尺度，由长时间尺度调度确定日内阶段30 min 级CHP机组的基本出力，短时间尺度调度则根据长时间尺度CHP机组的基本出力来确定日内15 min 级常规机组的基本出力。在实时调度阶段，CHP机组在日内长时间尺度出力的基础上进行15 min 级短时间尺度的调整，并协同储能设备补偿风电预测误差。通过算例验证表明，考虑风电预测误差的电-热系统混合时间尺度调度模型，降低了储能设备的使用率，提升了电-热系统的经济性，同时具有良好的风电预测误差补偿效果。

Hybrid time-scale dispatch of an electric-heating system considering wind power forecast error

To use the characteristics of a heating network to compensate for wind power forecast error, a hybrid time-scale dispatch strategy for an electric-heating system is proposed. Considering the differences in time-scale between electric energy and heat energy transmission, a short time-scale regulation model of the heating network is established. In intra-day dispatch, the dispatch model is divided into long (30 minutes) and short (15 minutes) time-scale models to obtain the scheduling scheme of CHP and conventional units, respectively. In real-time dispatch, based on the results of the long time-scale model, CHP units are adjusted on the short time-scale to compensate for the forecast error with energy storage system. The simulation results verify that this model of an electric-heating system reduces the utilization rate of the energy storage system, improves the economy of the electric-heating system, and has a good effect on wind power forecast error compensation. This work is supported by the National Natural Science Foundation of China (No. 62076243).