含大规模储热的光热电站-风电联合系统多日自调度方法

Multi-day Self-scheduling Method for Combined System of CSP Plants and Wind Power with Large-scale Thermal Energy Storage Contained

含储热的光热电站具有良好的可调度性,其可调度能力与实时光照功率和储热装置内存储的能量有关。当光热电站与风电组成联合系统发电时,光热电站可以削减风电的不确定性,但由于风、光功率情况在不同调度日间具有波动性,因此联合系统需要的光热电站的可调度能力和光热电站的实际可调度能力每天均不相同。文中建立了基于场景方法的光热电站与风电联合系统的多日随机调度模型。该模型充分考虑多日风、光功率预测的不确定性,进行联合系统日前自调度。最后,通过算例分析,讨论了不同预测时间尺度、储能参数取值对自调度结果的影响。

The concentrating solar power （CSP） plants with thermal energy storage （TES） has good schedulability, which is decided by real time solar power input and energy stored in TES. The CSP plant combined with wind farms can reduce the uncertainty of wind power. The uncertainty and variability of wind and solar in different days result in the changes of CSP＇ s schedulability and the need of it. By using scenario set to represent uncertainty of wind and solar, a stochastic model of the combined system is established. The day-ahead schedule of the system and the power dispatched in real time is optimized considering the uncertainty of multi-day wind and solar power forecast. By case study, the advantage of self-scheduling considering multi-day wind and solar uncertainty is verified, and the impact of different forecast horizon, TES＇s capacity and self-discharging rate is investigated.