首页|660MW超超临界燃煤机组智能辅助运行系统研究

660MW超超临界燃煤机组智能辅助运行系统研究

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为提升660 MW超超临界燃煤机组状态智能监控,设计660 MW超超临界燃煤机组智能辅助运行系统.在系统硬件部分,引入DCS技术,将其作为控制模块,并重点设计流量积算仪、远程I/O与耦合器,对660 MW超超临界燃煤的运行状况进行数据分析,实现监盘界面数据安全传输.在系统软件部分,采用粒子群算法对运行数据处理,预测燃煤机组运行状态,采用PID控制与Smith预估方法结合的方法实现超临界燃煤机组智能控制.实验结果表明,该方法测得系统负荷分布图为300~500 MW之间,在400 MW负载下、600 MW负载下均能够测得主蒸汽压力、燃料量与给水流量,且烟气含氧量的控制效果较为准确,稳定性较好.
Research on Intelligent Auxiliary Operation System of 660 MW Ultra-supercritical Coal-fired Unit
In order to enhance the intelligent monitoring of the condition of 660 MW ultra-supercriti-cal coal-fired unit,the intelligent auxiliary operation system of 660 MW ultra-supercritical coal-fired u-nit is designed.In the hardware part of the system,DCS technology is introduced as the control module,and it focuses on the design of flow accumulator,remote I/O and coupler to analyze the data of the opera-tion condition of 660 MW ultra-supercritical coal-fired unit and realize the secure data transmission of the monitoring panel interface.In the software part of the system,the particle swarm algorithm is used to process the operation data and predict the operation status of the coal-fired unit,and the combination of PID control and Smith prediction method is used to realize the intelligent control of the ultra-supercritical coal-fired unit.The experimental results show that the method can measure the system load distribution between 300 MW and 500 MW,and can measure the steam pressure,fuel quantity and feedwater flow un-der 400 MW load and 600 MW load,and the control effect of flue gas oxygen content is more accurate and stable.

supercritical coal-fired unitsintelligent auxiliary operation systemDCSsupervisory panel interface optimizationparticle swarm algorithm

张建宇、王悦、包立军、李晓宇

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国家电投集团内蒙古白音华煤电有限公司坑口发电分公司,内蒙古锡林郭勒盟 026200

超临界燃煤机组 智能辅助运行系统 DCS 监盘界面优化 粒子群算法

国家电力投资集团有限公司统筹研发经费支持项目

KYTC2020HD09

2024

机械与电子
中国机械工业联合会科技工作部 机械与电子杂志社

机械与电子

CSTPCD
影响因子:0.243
ISSN:1001-2257
年,卷(期):2024.42(4)
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