Scholarlink

This study addresses the challenges of excessive primary coolant temperature fluctuations and poor reactor-turbine coordination in nuclear power units responding to AGC variable load instructions. A strategy featuring preemptive control rod movement is proposed. The approach integrates a derivative feedforward signal into the R rod control system, enabling control rods to act preemptively during initial load-variation phases to enhance core heat transfer dynamics. Simultaneously, an 8 s pure delay element is added before the feedwater valve to synchronize primary-secondary thermal transfer. Through transfer function identification, Mason’s formula derivation, and model order reduction, an implementable feedforward controlleris developed. Simulation results demonstrate: at 20%–100% power platforms, 30.4% optimization in maximum primary loop temperature deviation (20% platform with ±5% load fluctuation); 36.6% reduction in temperature oscillations during high-power step changes; and effective prevention of turbine trips caused by full-power load shedding. This strategy significantly enhances load-variation rate and operational stability.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Research on Feedforward-Based Coordinated Optimization Strategy for Reactor-Turbine Systems During Nuclear Power Unit Load-Following Operations

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Qianbo Wang,
  • Tao Li,
  • Yong Fei Guo,
  • Rong Bin Zhang

摘要

This study addresses the challenges of excessive primary coolant temperature fluctuations and poor reactor-turbine coordination in nuclear power units responding to AGC variable load instructions. A strategy featuring preemptive control rod movement is proposed. The approach integrates a derivative feedforward signal into the R rod control system, enabling control rods to act preemptively during initial load-variation phases to enhance core heat transfer dynamics. Simultaneously, an 8 s pure delay element is added before the feedwater valve to synchronize primary-secondary thermal transfer. Through transfer function identification, Mason’s formula derivation, and model order reduction, an implementable feedforward controlleris developed. Simulation results demonstrate: at 20%–100% power platforms, 30.4% optimization in maximum primary loop temperature deviation (20% platform with ±5% load fluctuation); 36.6% reduction in temperature oscillations during high-power step changes; and effective prevention of turbine trips caused by full-power load shedding. This strategy significantly enhances load-variation rate and operational stability.