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作 者:兰宏武 蔡文 张骏利 张敬斌 张艳艳[1] LAN Hongwu;CAI Wen;ZHANG Junli;ZHANG Jingbin;ZHANG Yanyan(Tianjin Junliangcheng Generation Co.,Ltd.,Tianjin 300300,China)
出 处:《电子设计工程》2025年第7期51-56,61,共7页Electronic Design Engineering
摘 要:研究基于DCS(Distributed Control System)的燃气-蒸汽联合循环机组运行智能控制系统,确保机组安全运行的同时,提高机组整体运行效率。构建基于DCS的燃气-蒸汽联合循环机组运行智能控制框架,过程控制层的Mark VI系统、DCS系统根据监测数据变化实现机组设备、旁路等自动控制。SIS层接收联合循环机组监测数据后,将其作为基于深度神经网络故障诊断模型的输入,实现机组设备故障的识别。在检测到故障时触发联锁保护子系统动作,将停机指令下达给自动启停控制子系统,使机组停止运行。实验结果表明,该系统可实现燃气-蒸汽联合循环机组设备故障识别,在100次训练后,训练损失为0.1左右,F-Score指标最大值为0.93;故障工况下,该系统可根据预定逻辑实现燃气-蒸汽联合循环机组自动停机。The intelligent control system for the operation of gas steam combined cycle units based on DCS(Distributed Control System)is studied to ensure the safe operation of the units and improve the overall operational efficiency of the units.Build an intelligent control framework for the operation of gas steam combined cycle units based on DCS.The Mark VI system and DCS system in the process control layer achieve automatic control of unit equipment,bypass,etc.based on changes in monitoring data.After receiving the monitoring data of the combined cycle unit,the SIS layer uses it as input for a deep neural network-based fault diagnosis model to achieve the identification of unit equipment faults.When a fault is detected,the interlocking protection subsystem is triggered to issue a shutdown command to the automatic start stop control subsystem,causing the unit to stop running.The experimental results show that the system can achieve equipment fault identification for gas steam combined cycle units.After 100 training sessions,the training loss is about 0.1,and the maximum F-Score index is 0.93;Under fault conditions,the system can automatically shut down the gas steam combined cycle unit according to the predetermined logic.
关 键 词:DCS 联合循环 深度神经网络 故障诊断 联锁保护 自动启停控制
分 类 号:TM611[电气工程—电力系统及自动化]
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