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考虑惯性的大型火电机组一次调频控制研究

Research on Primary Frequency Control of Large Thermal Power Unit Considering Inertia

  • 摘要: 摘要:针对高比例新能源接入下电力系统惯量下降、频率稳定风险加剧,而现有火电机组一次调频控制难以充分发挥其惯性支撑潜能的问题,开展考虑惯性的大型火电机组一次调频协同优化控制研究。通过建立机组动态响应模型,揭示了惯性响应与一次调频在不同时间尺度上的耦合关系。设计多尺度信号分解与差异化控制策略,把频率偏差信号分解为高、中、低频分量,并分别运用基于频率变化率的前馈控制、自适应下垂控制和信号滤除策略,实现惯性支撑与主动调频在动态过程中的有机协同,提升机组对全频段功率扰动的综合抑制能力。通过对大型火电机组的实例应用证明,所提方法能有效抑制频率最大偏差与变化率,加快频率恢复进程,显著改善电网频率的动态品质,为提升新型电力系统频率稳定性提供有效方案。

     

    Abstract: Abstract: This study investigates the coordinated frequency regulation control of large thermal power units considering inertia. Addressing the challenges of reduced system inertia and heightened frequency stability risks under high renewable energy integration, while existing primary frequency regulation systems struggle to fully utilize their inertial support potential, we conduct research on optimized control strategies. By establishing dynamic response models, we reveal the coupling relationship between inertial response and primary frequency regulation across different time scales. The proposed multi-scale signal decomposition and differentiated control strategy decomposes frequency deviation signals into high, medium, and low-frequency components. Through implementing feedforward control based on frequency rate of change, adaptive droop control, and signal filtering techniques, the study achieves organic synergy between inertial support and active frequency regulation during dynamic processes, enhancing the unit''s comprehensive suppression capability for full-frequency band power disturbances. Case studies on large thermal power units demonstrate that the proposed method effectively suppresses maximum frequency deviations and rate of change, accelerates frequency recovery, and significantly improves grid frequency dynamic quality, providing an effective solution for enhancing frequency stability in next-generation power systems.

     

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