基于调控云的风储联合鲁棒优化调度

基于云计算的调控云具有信息感知全面、处理效率高、应用便捷灵活等特征，与以高度智能化为趋势的未来电网调度非常契合。文章提出了依托云计算调控云系统的风储鲁棒调度优化方法。首先，利用调控云对风电场群的年实际出力大数据进行聚类分析；其次，基于风电典型出力场景集划分形成风电功率修正曲线；然后，基于调控云功率修正曲线提出了风电、储能和常规机组联合鲁棒调度方法；最后，通过IEEE 39节点系统仿真，验证了文章所提方法可有效降低调度成本和弃风成本。

Robust Optimal Combined Wind-Storage Scheduling Based on Regulatory Cloud

Regulatory cloud based on cloud computing has the characteristics of comprehensive information perception， high processing efficiency， convenient and flexible application， which is very consistent with the future power grid characterized by high intelligence. This paper presents a robust scheduling optimization method for combined wind-storage system. Firstly， cluster analysis is made on the annual actual output big data of wind farm by using regulatory cloud. Wind power correction curves are formed on the basis of the typical set of wind power scenarios. Then， a joint robust scheduling method for wind power， energy storage and conventional units is proposed according to the wind power correction curves. Finally， the simulation results of IEEE 39-bus system verify that this method can effectively reduce the scheduling cost and wind curtailment.