Research on Automatic Control of SGTR Post-accident Safety Injection Process Based on Intelligent Algorithm
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摘要: 当前核电站若发生蒸汽发生器传热管破裂（SGTR）事故，普遍采用人工调节控制的手段，其中安注过程的调节是操作员面临的难点之一。针对该难点，首先分析了对象的主要调节机理和特性，然后结合操作运行人员经验，总结设计了安注控制过程的解耦控制结构，并设计了相应的参数整定方法，融入自适应PID、智能前馈、强化学习等智能化元素，提出了针对安注控制过程的智能控制策略。为在某公司开发的M310堆型全范围模拟机上完成策略验证，开发了智能计算引擎，并在智能计算引擎上完成控制策略组态，通过MySQL方式完成了控制信号的实时通讯。通过M310堆型全范围模拟机不同破口事故的模拟和测试验证，本文提出的智能控制策略均能够实现安注控制过程的自动调节，实际降温速率偏差为降温速率设定值的5.89%，过冷度和稳压器水位调节的匹配效果较好，性能高于操纵员手动执行任务的平均水平。
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关键词:
- 蒸汽发生器传热管破裂（SGTR） /
- 长短期记忆神经网络（LSTM） /
- 安注控制 /
- 智能控制 /
- 参数整定
Abstract: Following a steam generator tube rupture (SGTR) accident at a nuclear power plant, the manual adjustment control method is commonly employed, and the adjustment of the safety injection process is one of the difficulties faced by operators. For this process, the main adjustment mechanism and characteristics of the object are analyzed firstly in this paper. Combined with the experience of the operator, the automatic control structure of the safety injection control process is summarized, and the corresponding parameter setting method is designed. The intelligent elements such as adaptive PID, intelligent feedforward and reinforcement learning are integrated, so that the intelligent control strategy of the safety injection control process is innovatively proposed. In order to complete the strategy validation on the M310 full-range simulator developed by a company, this paper first develops the intelligent computing engine, then completed the control strategy configuration on the intelligent computing engine, then completes the control strategy configuration on the intelligent computing engine, and completes the real-time communication of the control signals through the MySQL. Through the simulation and test verification of different breach accidents in the simulator, the intelligent control strategies proposed in this paper are all able to realize the automatic adjustment of the injection control process, the actual cooling rate deviation is 5.89% of the cooling rate set value, the matching effect of the subcooling degree and the regulator level adjustment is good, and the performance is higher than the average of the manipulator's manual execution of the task.-
Key words:
- SGTR /
- LSTM /
- Safety injection control /
- Intelligent control /
- Parameter setting
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图 2 无人介入下SGTR中一回路降温速率变化
Figure 2. Variation of Cooling Rate of Primary Circuit in SGTR without Human Intervention
图 3 无人介入下SGTR中PZR水位变化
Figure 3. Variation of Regulator Water Level in SGTR without Human Intervention
图 4 SGTR事故后某次人工操作的一回路降温速率和GCT阀门开度
GCT—旁路排放阀
Figure 4. Cooling Rate and GCT Valve Opening of a Manually Operated Primary Circuit After a SGTR Accident
图 5 SGTR事故后某次人工操作的PZR水位和喷淋阀阀门开度
Figure 5. PZR Water Level and Sprinkler Valve Opening with a Manually Operation after SGTR Accident
图 8 智能计算引擎与仿真系统通讯结构
T—切换块
Figure 8. Communication Structure between Intelligent Computing Engine and Simulation System
图 10 第一阶段过冷度与PZR水位调节效果的对比
Figure 10. Comparison between the First Stage Subcooling and the Water Level Regulation Effect of PZR
图 11 第二阶段过冷度与PZR水位调节效果的对比
Figure 11. Comparison between the Second Stage Subcooling and the Water Level Regulation Effect of PZR
图 14 第一阶段过冷度和PZR水位调节效果的对比
Figure 14. Comparison between the First Stage Subcooling and the Water Level Regulation Effect of PZR
图 15 第二阶段过冷度与PZR水位调节效果的对比
Figure 15. Comparison between the Second Stage Subcooling and the Water Level Regulation Effect of PZR
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