数据驱动下的智能发电系统应用架构及关键技术
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摘要
面对能源短缺、环境污染、气候变化等人类共同的难题,安全高效、清洁低碳、灵活智能已成为能源电力转型发展的大趋势,而以数据深度利用为特征的智能化技术将是未来电力发展的核心领域。该文在前期研究的基础上,对智能发电系统的概念、体系架构进行了进一步阐述,从数据应用的角度阐明了智能发电的五大数据化特征:泛在感知(数据获取)、信息融合(数据交互)、智能算法(数据监控)、智能管控(数据决策)、全生命周期管理(数据归档)。提出包括智能发电运行控制系统(intelligent control system,ICS)和智能发电公共服务系统(intelligent service system,ISS)的智能发电系统数据应用架构,在此基础上,给出了与2个系统相对应的数据应用功能。
To relief the globally severe situation on energy shortage, environmental pollution and climate change, the main trend in energy and power arena is to achieve safe, efficient,clean, low carbon, flexible and intelligent. The intelligent technology characterized by data depth utilization will be the core area of future electric power development. In this paper,the concept and the system structure of smart power generation system were further elaborated. Firstly, from the point and view of data application, five data characteristics of smart power generation were proposed. It should be capable of ubiquitous perception(data acquisition), information fusion(data interaction), intelligent algorithm(data monitor), intelligent management and control(data decision), and full life cycle management(data archiving). Secondly, the data application architecture of smart power generation control system was proposed, which includes intelligent control system(ICS) and intelligent service system(ISS). Finally, the corresponding data application functions of two systems were presented.
To relief the globally severe situation on energy shortage, environmental pollution and climate change, the main trend in energy and power arena is to achieve safe, efficient,clean, low carbon, flexible and intelligent. The intelligent technology characterized by data depth utilization will be the core area of future electric power development. In this paper,the concept and the system structure of smart power generation system were further elaborated. Firstly, from the point and view of data application, five data characteristics of smart power generation were proposed. It should be capable of ubiquitous perception(data acquisition), information fusion(data interaction), intelligent algorithm(data monitor), intelligent management and control(data decision), and full life cycle management(data archiving). Secondly, the data application architecture of smart power generation control system was proposed, which includes intelligent control system(ICS) and intelligent service system(ISS). Finally, the corresponding data application functions of two systems were presented.
引文
[1]国家发展改革委,国家能源局.电力发展“十三五”规划(2016-2020年)[EB/OL].[2016-11-07].http://www.ndrc.gov.cn/fzgggz/fzgh/ghwb/gjjgh/201706/t20170605_849994.html.National Development and Reform Commission,National Energy Administration."13th Five-Year"plan for electric power development[EB/OL].[2016-11-07].http://www.ndrc.gov.cn/fzgggz/fzgh/ghwb/gjjgh/201706/t20170605_849994.html(in Chinese).
[2]刘吉臻.大规模新能源电力安全高效利用基础问题[J].中国电机工程学报,2013,33(16):1-8.Liu Jizhen.Basic issues of the utilization of large-scale renewable power with high security and efficiency[J].Proceedings of the CSEE,2013,33(16):1-8(in Chinese).
[3]刘吉臻,王玮,胡阳,等.新能源电力系统控制与优化[J].控制理论与应用,2016,33(12):1555-1561.Liu Jizhen,Wang Wei,Hu Yang,et al.Control and optimization of alternate electrical power system with renewable energy sources[J].Control Theory&Applications,2016,33(12):1555-1561(in Chinese).
[4]刘吉臻,曾德良,田亮,等.新能源电力消纳与燃煤电厂弹性运行控制策略[J].中国电机工程学报,2015,35(21):5385-5394.Liu Jizhen,Zeng Deliang,Tian Liang,et al.Control strategy for operating flexibility of coal-fired power plants in alternate electrical power systems[J].Proceedings of the CSEE,2015,35(21):5385-5394(in Chinese).
[5]国务院办公厅.能源发展战略行动计划(2014-2020年)[EB/OL].[2014-11-19].http://www.gov.cn/zhengce/content/2014-11/19/content_9222.htm.General office of the State Council.Energy development strategy action plan(2014-2020)[EB/OL].[2014-11-19].http://www.gov.cn/zhengce/content/2014-11/19/content_9222.htm(in Chinese).
[6]国务院办公厅.《中国制造2025》[EB/OL].[2015-05-19].http://www.gov.cn/zhengce/content/2015-05/19/content_9784.htm.General office of the state council.China Manufacture[EB/OL].[2015-05-19].http://www.gov.cn/zhengce/content/2015-05/19/content_9784.htm(in Chinese).
[7]国家能源局.关于推进“互联网+”智慧能源发展的指导意见[EB/OL].[2016-02-29].http://www.nea.gov.cn/2016-02/29/c_135141026.htm.National Energy Administration.Guiding opinions on promoting the development of smart energy with internet plus[EB/OL].[2016-02-29].http://www.nea.gov.cn/2016-02/29/c_135141026.htm(in Chinese).
[8]刘吉臻.智能发电:第四次工业革命的大趋势[N].中国能源报,2016-07-25(3).Liu Jizhen.Smart power generation:the trend of the fourth industrial revolution[N].China Energy News,2016-07-25(3)(in Chinese).
[9]刘吉臻,胡勇,曾德良,等.智能发电厂的架构及特征[J].中国电机工程学报,2017,37(22):6463-6470.Liu Jizhen,Hu Yong,Zeng Deliang,et al.Architecture and feature of smart power generation[J].Proceedings of the CSEE,2017,37(22):6463-6470(in Chinese).
[10]Gao Mingming,Hong Feng,Liu Jizhen.Investigation on energy storage and quick load change control of subcritical circulating fluidized bed boiler units[J].Applied Energy,2017,185:463-471.
[11]高明明,岳光溪,雷秀坚,等.600 MW超临界循环流化床锅炉控制系统研究[J].中国电机工程学报,2014,34(35):6319-6328.Gao Mingming,Yue Guangxi,Lei Xiujian,et al.Research on control system of 600 MW supercritical circulating fluidized bed boiler[J].Proceedings of the CSEE,2014,34(35):6319-6328(in Chinese).
[12]Hu Yong,Zeng Deliang,Liu Jizhen,et al.Dynamic model for controller design of condensate throttling systems[J].ISA Transaction,2015,58:622-628.
[13]Wang Wei,Liu Jizhen,Zeng Deliang,et al.Modeling for condensate throttling and its application on the flexible load control of power plants[J].Applied Thermal Engineering,2016,95:303-310.
[14]房方,李荣丽,刘吉臻.基于多变量内模结构的循环流化床锅炉床温自抗扰控制[J].中国电机工程学报,2017,37(1):172-180.Fang Fang,Li Rongli,Liu Jizhen.Active disturbance rejection control for bed temperature of circulating fluidized bed boiler based on multivariable internal model structure[J].Proceedings of the CSEE,2017,37(1):172-180(in Chinese).
[15]Liu Jizhen,Hu Yong,Zeng Delaing,et al.Optimization of an air-cooling system and its application to grid stability[J].Applied Thermal Engineering,2013,61(2):206-212.
[16]王仲生.智能检测与控制技术[M].西安:西北工业大学出版社,2002.Wang Zhongsheng.Intelligent detection and control technology[M].Xi'an:Northwestern Polytechnic University Press,2002(in Chinese).
[17]王保云.物联网技术研究综述[J].电子测量与仪器学报,2009,23(12):1-7.Wang Baoyun.Review on internet of things[J].Journal of Electronic Measurement and Instrument,2009,23(12):1-7(in Chinese).
[18]辛斌,陈杰,彭志红.智能优化控制:概述与展望[J].自动化学报,2013,39(11):1831-1848.Xin Bin,Chen Jie,Peng Zhihong.Intelligent optimized control:overview and prospect[J].Acta Automatica Sinica,2013,39(11):1831-1848(in Chinese).
[19]张恒良,谢诞梅,刘静宇,等.调峰机组启停优化控制[J].热能动力工程,2005,20(3):300-302.Zhang Hengliang,Xie Danmei,Liu Jingyu,et al.Optimized control of the startup and shutdown of peaking units[J].Journal of Engineering for Thermal Energy and Power,2005,20(3):300-302(in Chinese).
[20]高海东,高林,樊皓亮,等.火电机组实用智能优化控制技术[J].热力发电,2017,46(12):1-5.Gao Haidong,Gao Lin,Fan Haoliang,et al.Discussions on practical intelligent optimization control technologies for thermal power units[J].Thermal Power Generation,2017,46(12):1-5(in Chinese).
[21]许振宇,陈鸿伟,高建强.火电厂锅炉主要运行参数的耗差分析[J].热力发电,2007,36(2):16-18,30.Xu Zhenyu,Chen Hongwei,Gao Jianqiang.Analysis of consumption deviation for main operation parameters of boilers in thermal power plant[J].Thermal Power Generation,2007,36(2):16-18,30(in Chinese).
[22]杨婷婷,曾德良,刘继伟,等.大型火力发电机组节能优化研究与展望[J].华东电力,2010,38(6):898-902.Yang Tingting,Zeng Deliang,Liu Jiwei.Research and prospect on energy saving and optimization for large scale thermal power generation unit[J].East China Electric Power,2010,38(6):898-902(in Chinese).
[23]董晓峰.基于RCM分析的智能化汽轮机组故障诊断系统研究[D].北京:华北电力大学,2012.Dong Xiaofeng.Study on intelligent fault diagnosis system for turbogenerator based on RCM analysis[D].Beijing:North China Electric Power University,2012(in Chinese).
[24]张燕东,田磊,李茂清,等.智能巡检机器人系统在火力发电行业的应用研发及示范[J].中国电力,2017,50(10):1-7.Zhang Yandong,Tian Lei,Li Maoqing,et al.Application and development of intelligent inspection robot system in thermal power plant[J].Electric Power,2017,50(10):1-7(in Chinese).
[25]马虹哲.智能电网信息安全威胁及防护关键技术研究[J].信息通信,2017(12):162-163.Ma Hongzhe.Research on the key technology of information security threats and defense in smart grid[J].Information&Communications,2017(12):162-163(in Chinese).
[2]刘吉臻.大规模新能源电力安全高效利用基础问题[J].中国电机工程学报,2013,33(16):1-8.Liu Jizhen.Basic issues of the utilization of large-scale renewable power with high security and efficiency[J].Proceedings of the CSEE,2013,33(16):1-8(in Chinese).
[3]刘吉臻,王玮,胡阳,等.新能源电力系统控制与优化[J].控制理论与应用,2016,33(12):1555-1561.Liu Jizhen,Wang Wei,Hu Yang,et al.Control and optimization of alternate electrical power system with renewable energy sources[J].Control Theory&Applications,2016,33(12):1555-1561(in Chinese).
[4]刘吉臻,曾德良,田亮,等.新能源电力消纳与燃煤电厂弹性运行控制策略[J].中国电机工程学报,2015,35(21):5385-5394.Liu Jizhen,Zeng Deliang,Tian Liang,et al.Control strategy for operating flexibility of coal-fired power plants in alternate electrical power systems[J].Proceedings of the CSEE,2015,35(21):5385-5394(in Chinese).
[5]国务院办公厅.能源发展战略行动计划(2014-2020年)[EB/OL].[2014-11-19].http://www.gov.cn/zhengce/content/2014-11/19/content_9222.htm.General office of the State Council.Energy development strategy action plan(2014-2020)[EB/OL].[2014-11-19].http://www.gov.cn/zhengce/content/2014-11/19/content_9222.htm(in Chinese).
[6]国务院办公厅.《中国制造2025》[EB/OL].[2015-05-19].http://www.gov.cn/zhengce/content/2015-05/19/content_9784.htm.General office of the state council.China Manufacture[EB/OL].[2015-05-19].http://www.gov.cn/zhengce/content/2015-05/19/content_9784.htm(in Chinese).
[7]国家能源局.关于推进“互联网+”智慧能源发展的指导意见[EB/OL].[2016-02-29].http://www.nea.gov.cn/2016-02/29/c_135141026.htm.National Energy Administration.Guiding opinions on promoting the development of smart energy with internet plus[EB/OL].[2016-02-29].http://www.nea.gov.cn/2016-02/29/c_135141026.htm(in Chinese).
[8]刘吉臻.智能发电:第四次工业革命的大趋势[N].中国能源报,2016-07-25(3).Liu Jizhen.Smart power generation:the trend of the fourth industrial revolution[N].China Energy News,2016-07-25(3)(in Chinese).
[9]刘吉臻,胡勇,曾德良,等.智能发电厂的架构及特征[J].中国电机工程学报,2017,37(22):6463-6470.Liu Jizhen,Hu Yong,Zeng Deliang,et al.Architecture and feature of smart power generation[J].Proceedings of the CSEE,2017,37(22):6463-6470(in Chinese).
[10]Gao Mingming,Hong Feng,Liu Jizhen.Investigation on energy storage and quick load change control of subcritical circulating fluidized bed boiler units[J].Applied Energy,2017,185:463-471.
[11]高明明,岳光溪,雷秀坚,等.600 MW超临界循环流化床锅炉控制系统研究[J].中国电机工程学报,2014,34(35):6319-6328.Gao Mingming,Yue Guangxi,Lei Xiujian,et al.Research on control system of 600 MW supercritical circulating fluidized bed boiler[J].Proceedings of the CSEE,2014,34(35):6319-6328(in Chinese).
[12]Hu Yong,Zeng Deliang,Liu Jizhen,et al.Dynamic model for controller design of condensate throttling systems[J].ISA Transaction,2015,58:622-628.
[13]Wang Wei,Liu Jizhen,Zeng Deliang,et al.Modeling for condensate throttling and its application on the flexible load control of power plants[J].Applied Thermal Engineering,2016,95:303-310.
[14]房方,李荣丽,刘吉臻.基于多变量内模结构的循环流化床锅炉床温自抗扰控制[J].中国电机工程学报,2017,37(1):172-180.Fang Fang,Li Rongli,Liu Jizhen.Active disturbance rejection control for bed temperature of circulating fluidized bed boiler based on multivariable internal model structure[J].Proceedings of the CSEE,2017,37(1):172-180(in Chinese).
[15]Liu Jizhen,Hu Yong,Zeng Delaing,et al.Optimization of an air-cooling system and its application to grid stability[J].Applied Thermal Engineering,2013,61(2):206-212.
[16]王仲生.智能检测与控制技术[M].西安:西北工业大学出版社,2002.Wang Zhongsheng.Intelligent detection and control technology[M].Xi'an:Northwestern Polytechnic University Press,2002(in Chinese).
[17]王保云.物联网技术研究综述[J].电子测量与仪器学报,2009,23(12):1-7.Wang Baoyun.Review on internet of things[J].Journal of Electronic Measurement and Instrument,2009,23(12):1-7(in Chinese).
[18]辛斌,陈杰,彭志红.智能优化控制:概述与展望[J].自动化学报,2013,39(11):1831-1848.Xin Bin,Chen Jie,Peng Zhihong.Intelligent optimized control:overview and prospect[J].Acta Automatica Sinica,2013,39(11):1831-1848(in Chinese).
[19]张恒良,谢诞梅,刘静宇,等.调峰机组启停优化控制[J].热能动力工程,2005,20(3):300-302.Zhang Hengliang,Xie Danmei,Liu Jingyu,et al.Optimized control of the startup and shutdown of peaking units[J].Journal of Engineering for Thermal Energy and Power,2005,20(3):300-302(in Chinese).
[20]高海东,高林,樊皓亮,等.火电机组实用智能优化控制技术[J].热力发电,2017,46(12):1-5.Gao Haidong,Gao Lin,Fan Haoliang,et al.Discussions on practical intelligent optimization control technologies for thermal power units[J].Thermal Power Generation,2017,46(12):1-5(in Chinese).
[21]许振宇,陈鸿伟,高建强.火电厂锅炉主要运行参数的耗差分析[J].热力发电,2007,36(2):16-18,30.Xu Zhenyu,Chen Hongwei,Gao Jianqiang.Analysis of consumption deviation for main operation parameters of boilers in thermal power plant[J].Thermal Power Generation,2007,36(2):16-18,30(in Chinese).
[22]杨婷婷,曾德良,刘继伟,等.大型火力发电机组节能优化研究与展望[J].华东电力,2010,38(6):898-902.Yang Tingting,Zeng Deliang,Liu Jiwei.Research and prospect on energy saving and optimization for large scale thermal power generation unit[J].East China Electric Power,2010,38(6):898-902(in Chinese).
[23]董晓峰.基于RCM分析的智能化汽轮机组故障诊断系统研究[D].北京:华北电力大学,2012.Dong Xiaofeng.Study on intelligent fault diagnosis system for turbogenerator based on RCM analysis[D].Beijing:North China Electric Power University,2012(in Chinese).
[24]张燕东,田磊,李茂清,等.智能巡检机器人系统在火力发电行业的应用研发及示范[J].中国电力,2017,50(10):1-7.Zhang Yandong,Tian Lei,Li Maoqing,et al.Application and development of intelligent inspection robot system in thermal power plant[J].Electric Power,2017,50(10):1-7(in Chinese).
[25]马虹哲.智能电网信息安全威胁及防护关键技术研究[J].信息通信,2017(12):162-163.Ma Hongzhe.Research on the key technology of information security threats and defense in smart grid[J].Information&Communications,2017(12):162-163(in Chinese).