模型预测控制在压水堆堆芯功率控制中的应用

Model Predictive Control Method for Core Power Control in Pressurized Water Reactor

  • 摘要: 在压水堆核电站中,堆芯功率的自动控制难以实现。将模型预测控制方法应用于压水堆堆芯,以实现堆芯功率的自动控制。堆芯功率自动控制模型的建立是以反应堆堆芯模型和模型预测模型为基础的。反应堆堆芯模型包括中子动力学模型、热工水力学模型和反应性模型,模型预测模型以状态空间形式表述。为评估所设计的基于状态空间的模型预测控制系统的性能,设计了堆芯功率控制仿真实验。模拟结果表明:所设计的控制方法能快速、准确地控制堆芯功率,跟踪负荷变化

     

    Abstract: In pressurized water reactor (PWR) nuclear power station, it is still a challenge to achieve a well-performed core power control system. A model predictive control (MPC) method was applied to the automatic control of the core power in PWR. Models for the automatic control of the core power were established based on the core model and MPC model. The core model included neutron dynamic models, thermal hydraulic models and reactivity models, and the MPC model was presented in state space model form. To evaluate the performance of the proposed MPC control system based on state space, simulations were designed for core power control. The simulation results show that the proposed control method can achieve a swift and accurate core power control performance in the load tracking.

     

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