面向智能发电的电站燃煤锅炉在线运行优化
摘要:达到接近人类智能的人工智能赖以实现的计算平台，非一般工业控制计算机，甚至一般规模的计算机集群所能承担的。在此基础上，提出火电机组智能发电技术的基本构架：在一定规模发电集团的技术研究院建设“智能发电技术中心”，集中进行智能化技术的研发；各个发电厂和发电机组向该中心传送实时数据和信息，并从该中心获得智能控制、智能运维、智能管理等方面的技术支持。简要介绍了研发的炉内3维温度场在线监测技术、炉内燃烧负荷监测及快速克服燃料热值扰动控制技术、基于运行数据分析的风煤水独立解耦精确前馈锅炉运行优化控制技术，并在300、600 MW发电机组上得以成功应用，取得了降低发电煤耗和炉内燃烧氮氧化物排放的应用效果，为智能发电技术研发奠定了良好基础。
Abstract：The artificial intelligence (AI) computing platform that is close to human intelligence could not be set up by general industrial computers, or even general-scale computer clusters. On this basis, this paper puts forward a basic framework of smart power generation technology for thermal power units. A ‘smart power generation technology center’ is built in the technology institute of a certain scale power generation group, which concentrates on the research and development of intelligent technology; Real-time data and information are transmitted to the center by various power plants and generating units, the latter can obtain technological support on smart control, smart operation and maintenance, and smart management from the center. Then the on-line monitoring technology of three-dimensional temperature field in the furnace, the monitoring technology of combustion load in the furnace and the control technology of quickly overcoming the disturbance of fuel calorific value, the air-coal-water independent decoupling, precise feed-forward control and optimization technology of boiler operation based on operation data analysis, which were developed by the author's team, are introduced briefly. These technologies have been successfully put into operation in a 300 MW and a 600 MW coal-fired power generation units, and have achieved the goal of reducing coal consumption and nitrogen oxide emission in the furnaces at the same time, laying a good foundation for the research and development of smart power generation technology.
标题：面向智能发电的电站燃煤锅炉在线运行优化
title:On-Line Optimization of Coal-Fired Boiler Operation in Power Plants for Smart Power Generation
作者：周怀春,胡志方,郭建军,刘尧平,赵钧,常平,黎泽元,周远科,张赣生
authors:ZHOU Huaichun ,HU Zhifang,GUO Jianjun,LIU Yaoping,ZHAO Jun,CHANG Ping,LI Zeyuan ,ZHOU Yuanke,ZHANG Gansheng
关键词：人工智能,智能发电,燃烧优化,燃烧监测,大数据分析,氮氧化物排放,
keywords:artificial intelligence,smart power generation,combustion optimization,combustion monitoring,big data analysis,nitrogen oxide emissions,
发表日期：2019-07-01
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