低碳背景下的电力系统多时间尺度联合优化调度

Multi-time scale joint optimal dispatching of power system in low carbon background

随着小火电关停以及大规模可再生能源的接入,机组整体启停速度下降且运行不确定性增强,传统的日前与实时两级调度模式下,电网在极端环境下失负荷以及弃风、弃光风险较高。为解决这一问题,提出电能与备用多时间尺度联合优化调度方法,在日前计划基础上,补充设计了周前和日内调度计划,周前计划用于解决极端情况下,大机组启动时间不充裕问题;日内计划用于应对风电等可再生能源的随机性与波动性。并且在联合调度模型中考虑了需求侧响应因素,提升电力系统整体调节能力。最后,通过IEEE-RTS 39节点系统验证了所提方法的有效性。

With the widely shutdown of small thermal units and the large-scale integration of renewable energy, the overall startup speed of units decreased and the operation uncertainty aggravated in power system. The traditional dispatching mode, namely day ahead and real-time dispatching, was confronted with some challenges, increasing the load loss and wind/solar abandoning risks in extreme cases. The multi-period joint optimization approach of energy and reserve was proposed, integrating week-ahead and intra-day dispatching. Specifically, the week-ahead scheduling was for the commitment of large units, and the day-ahead scheduling was to deal with the volatility of the renewable energy. Finally, the effectiveness of the proposed method was verified by the IEEE-RTS 39 bus system.