计及水库运行约束的极端气象场景下抽蓄电站优化调度研究

极端气象场景下风电和光伏出力非同步骤减,系统调节需求攀升,需要抽蓄电站灵活运行填补缺额,维持电力供需平衡及电网稳定运行。本文用单位电能上水库水位降深系数和单位上水库水位抬升消耗电能系数简化水电转换关系,建立了基于上水库水位运行控制的水量抽发平衡,作为抽蓄电站电力运行边界条件;在此基础上考虑高温连晴、低温寒潮、台风、沙尘、雾霾等极端天气对风光出力及负荷的影响,建立起极端气象场景下风光出力非同步骤减的含抽水蓄能电力系统高效经济优化调度模型,以实现合理调用抽水蓄能满足系统调峰需求,缓解极端天气对电力平衡的冲击。通过算例分析,验证了所提约束和所建模型的合理性和可行性,研究成果可为电力系统利用抽蓄电站应对突发气象过程提供决策支持。

Optimization scheduling of pumped-storage power stations under extreme weather scenarios considering reservoir operation constraints

Under extreme weather conditions, wind and photovoltaic power generation are non-synchronized decline, resulting in an increase in system regulation requirements.Pumped-storage power stations need to operate flexibly to fill the gaps and maintain power supply-demand balance and grid stability.To simplify the hydroelectric conversion relationship, coefficients for "water level drop per unit of electricity stored" and "electricity consumed per unit of water level rise" are used to establish a balanced water extraction model based on upper reservoir water level control as the operating boundary conditions for pumped-storage power station.Considering extreme weather conditions such as heatwaves, cold waves, typhoons, sandstorms, and haze, a high-efficiency and economic optimization scheduling model for pumped-storage power systems with unsynchronized wind and solar power generation is established.This model helps to alleviate the impact of extreme weather on power balance by balancing power consumption during peak demand.The feasibility and validity of the proposed constraints and models are verified through numerical examples, and the research can provide decision support for power systems to cope with sudden meteorological processes using pumped-storage power stations.