水电机组主动控制OA
Active control of hydropower units
从理论层面探讨水电机组由被动响应向主动调节转型的控制构想,强调以预测信息驱动的主动控制为核心发展方向.在此框架下,通过引入风电、光伏及负荷预测信息作为前馈信号,水电机组可提前调整出力,从源头抑制功率不平衡,实现由依赖频率偏差触发的反馈调节向基于功率平衡的主动调节转变.同时,围绕主动控制对执行速度的要求,引入快速控制思想优化机组开机调速过程,仿真结果表明:该策略可显著缩短机组由冷备用向可调节运行状态转化的时间,为主动功率支撑提供快速执行基础.该控制理念从前瞻性与快速性两个层面提升水电调节能力,对保障高比例可再生能源条件下电网的安全、稳定与经济运行具有重要意义.
This study explores the control concept of hydropower units transitioning from passive response to active regulation from a theoretical perspective,emphasizing the core development direction of proactive control driven by predictive information.Under this framework,by introducing wind power,photovoltaic and load forecasting information as feedforward signals,hydropower units can adjust their output in advance,suppress power imbalance from the source,and realize the transformation from feedback regulation triggered by frequency deviation to active regulation based on power balance.At the same time,focusing on the requirement of active control for execution speed,the fast control concept was introduced to optimize the unit start-up speed regulation process.Simulation results show that this strategy can significantly shorten the time for the unit to transition from"cold standby"to adjustable operating state,providing a fast execution foundation for active power support.This control concept enhances the hydropower regulation capability from both forward-looking and fast perspectives,which is of great significance for ensuring the safety,stability,and economic operation of the power grid under high proportion renewable energy conditions.
张勇传;李超顺;黎育红;袁晓辉;许颜贺;覃晖
华中科技大学水利水电科学研究院,湖北武汉 430074||华中科技大学土木与水利工程学院,湖北 武汉 430074华中科技大学水利水电科学研究院,湖北武汉 430074||华中科技大学土木与水利工程学院,湖北 武汉 430074华中科技大学水利水电科学研究院,湖北武汉 430074||华中科技大学土木与水利工程学院,湖北 武汉 430074华中科技大学土木与水利工程学院,湖北 武汉 430074华中科技大学水利水电科学研究院,湖北武汉 430074||华中科技大学土木与水利工程学院,湖北 武汉 430074华中科技大学水利水电科学研究院,湖北武汉 430074||华中科技大学土木与水利工程学院,湖北 武汉 430074
建筑与水利
水电机组备用容量快速控制水风光互补主动控制
hydropower unitreserve capacityrapid controlhydro-wind-solar complementaryactive control
《华中科技大学学报(自然科学版)》 2026 (7)
9-12,4
智能电网国家科技重大专项(2024ZD0801800).
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