考虑光热电站接入的电力系统双层双时间尺度优化调度

为提升含太阳能光热电站电力系统调度控制的跟踪能力和抗扰性能，降低风电和负荷功率等不确定因素对控制效果的影响，基于模型预测控制的优化思想，提出一种包含长时间尺度滚动优化层和短时间尺度动态调整层的优化调度方法。上层以含光热电站系统的运行经济性最优为目标，通过多步滚动求解制定长时间尺度调度计划。下层以跟踪和修正上层调度计划为目标，并在短时间尺度滚动优化平滑功率波动的基础上，引入光热电站的储热调整，进一步应对风电和负荷短时间尺度的功率波动。基于改进IEEE39 节点系统进行算例分析。结果表明：通过双层环节协调配合，所提调度方法能够有效抑制风电和负荷的短时功率波动，实现系统经济运行。

Two-layer double-time scale optimal dispatch for a power system considering concentrating solar power plant penetration

To enhance the tracking ability and anti-disturbance performance of the dispatching control of a power system with a concentrating solar power plant, and reduce the impact of uncertain factors such as wind and load power on the control effect, an optimal dispatch method that contains long-time scale receding horizon optimization layer and short-time scale dynamic adjustment layers is proposed. This is based on the optimization idea of model predictive control. In this model, the upper layer takes the optimal operating economy of the concentrating solar power plant system as the objective, and the dispatch plan in long time-scale is formulated by a multi-step receding horizon solution. While the lower layer takes the tracing and correcting scheduling plan in the upper layer as the objective, and the thermal energy storage system is introduced to further deal with the power fluctuations of wind power and load demand over a short-time scale. This is based on smoothing power fluctuation by receding horizon optimization on a short-time scale. An example based on the improved IEEE 39 bus system is analyzed. The results show that the proposed method can effectively suppress the short-time power fluctuation of wind and load and realize the economical operation of the system through the coordination of two layers.This work is supported by the National Natural Science Foundation of China (No. 51907164).