Discussion on Application of Artificial Intelligence Technology in Thermal Power Industry

Zhigang HUA; Jiaqing FAN; Rong GUO; Yong WANG; Xiaoxiang WU

doi:10.11930/j.issn.1004-9649.202011001

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Discussion on Application of Artificial Intelligence Technology in Thermal Power Industry

Information and Communication | 更新时间：2025-06-18

- Discussion on Application of Artificial Intelligence Technology in Thermal Power Industry
- Electric Power Vol. 54, Issue 7, Pages: 198-207(2021)
- 作者机构：
  
  1.国家电力投资集团有限公司战略研究院，北京　100034
  2.上海发电设备成套设计研究院有限责任公司，上海　200240
  3.南昌大学信息工程学院，江西南昌　330031
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202011001
  CLC： TM621
- Received：02 November 2020，
  
  Revised：2021-04-27，
  
  Published：05 July 2021
- 稿件说明：
移动端阅览
Zhigang HUA, Jiaqing FAN, Rong GUO, et al. Discussion on Application of Artificial Intelligence Technology in Thermal Power Industry[J]. Electric power, 2021, 54(7): 198-207.
DOI：

Zhigang HUA, Jiaqing FAN, Rong GUO, et al. Discussion on Application of Artificial Intelligence Technology in Thermal Power Industry[J]. Electric power, 2021, 54(7): 198-207. DOI： 10.11930/j.issn.1004-9649.202011001.

摘要

在调研国内外人工智能发展现状和技术路线的基础上，思考人工智能技术在火电行业的应用场景和技术突破点，探讨人工智能在火电行业的技术发展方向。分析火电企业生产经营过程中，在感知、决策、执行等环节所需的计算机视觉、大数据、物联网、智能控制和智能机器人等技术路线，论述在安全管理、生产管理以及经营决策等场景的人工智能技术应用，并对典型应用案例进行分析，提出人工智能技术在火电行业的重点研究方向。

Abstract

Based on an investigation of the status quo and technical routes of artificial intelligence development at home and abroad

the application scenarios and technical breakthroughs of artificial intelligence technology in thermal power industry is deliberated

and the technical development direction of artificial intelligence in thermal power industry is discussed. An analysis is made of the technical routes for development of computer vision

big data

Internet of things

intelligent control

intelligent robot

which are needed in perception

decision making and execution in the production and operation process of thermal power enterprises. The application of artificial intelligence technology in safety management

production management and business decision-making scenarios is discussed

and the typical application cases are introduced. The key research direction of the artificial intelligence technology in thermal power industry in the future is put forward.

关键词

Keywords

references

杜振东, 徐尔丰, 张笑弟, 等. 绿色电力证书市场下中国各类电源规模及发电成本演化发展[J]. 中国电力, 2019, 52(7): 168–176.

DU Zhendong, XU Erfeng, ZHANG Xiaodi, et al . Research on evolution and development of power generation scale and cost under tradable green certificates market in China[J ] . Electric Power, 2019, 52(7): 168–176.

华志刚, 郭荣, 崔希, 等. 火电智慧电厂技术路线探讨与研究[J]. 热力发电, 2019, 48(10): 8–14.

HUA Zhigang, GUO Rong, CUI Xi, et al . Discussion and study on technical route of smart thermal power plant[J ] . Thermal Power Generation, 2019, 48(10): 8–14.

苏磊, 杨晓新. 美国出版业人工智能应用研究[J]. 中国出版, 2019(24): 65–68.

谢友柏. 读《欧洲工业的未来: 欧洲制造业2030》看中国制造业[J]. 中国机械工程, 2019, 30(24): 3018–3023.

XIE Youbai. After Reading Towards the Re-industrialization of Europe: a Concept for Manufacturing for 2030 to see manufacturing in China[J]. China Mechanical Engineering, 2019, 30(24): 3018–3023.

郭为民, 张广涛, 李炳楠, 等. 火电厂智能化建设规划与技术路线[J]. 中国电力, 2018, 51(10): 17–25.

GUO Weimin, ZHANG Guangtao, LI Bingnan, et al . Construction planning and technical route for thermal power plant intelligentization[J ] . Electric Power, 2018, 51(10): 17–25.

华志刚, 郭荣, 汪勇. 燃煤智能发电的关键技术[J]. 中国电力, 2018, 51(10): 8–16.

HUA Zhigang, GUO Rong, WANG Yong. Key technologies for intelligent coal-fired power generation[J]. Electric Power, 2018, 51(10): 8–16.

沈润杰, 苗壮, 陈将威, 等. 抽水蓄能电站输水道水下机器人检测系统研制[J]. 系统仿真技术, 2017, 13(1): 60–65.

SHEN Runjie, MIAO Zhuang, CHEN Jiangwei, et al . Detection system development of underwater robot for pumped storage power station water conveyance system[J ] . System Simulation Technology, 2017, 13(1): 60–65.

唐贤伦, 杜一铭, 刘雨微, 等. 基于条件深度卷积生成对抗网络的图像识别方法[J]. 自动化学报, 2018, 44(5): 855–864.

TANG Xianlun, DU Yiming, LIU Yuwei, et al . Image recognition with conditional deep convolutional generative adversarial networks[J ] . Acta Automatica Sinica, 2018, 44(5): 855–864.

刘子俊, 简学之, 时伯年, 等. 基于增强现实技术的智能变电站设备运维仿真[J]. 南方电网技术, 2019, 13(11): 69–75.

LIU Zijun, JIAN Xuezhi, SHI Bonian, et al . Operation and maintenance simulation for smart substation equipment based on augmented reality technology[J ] . Southern Power System Technology, 2019, 13(11): 69–75.

杨倩鹏, 林伟杰, 王月明, 等. 火力发电产业发展与前沿技术路线[J]. 中国电机工程学报, 2017, 37(13): 3787–3794.

YANG Qianpeng, LIN Weijie, WANG Yueming, et al . Industry dev elopment and frontier technology roadmap of thermal power generation[J ] . Proceedings of the CSEE, 2017, 37(13): 3787–3794.

李伟, 李硕. 理解数字声音: 基于一般音频/环境声的计算机听觉综述[J]. 复旦学报(自然科学版), 2019, 58(3): 269–313.

LI Wei, LI Shuo. Understanding digital audio—A review of general audio/ambient sound based computer audition[J]. Journal of Fudan University (Natural Science), 2019, 58(3): 269–313.

郭松, 李晓钟, 王宇翔. 核电厂安全阀维修策略优化研究[J]. 核动力工程, 2017, 38(增刊1): 18–21.

GUO Song, LI Xiaozhong, WANG Yuxiang. Optimization of safety valve maintenance policy for nuclear power plants[J]. Nuclear Power Engineering, 2017, 38(S1): 18–21.

陈碧云, 李弘斌, 李滨. 基于数据挖掘和CAPSO-SNN的电力作业风险态势感知[J]. 电力自动化设备, 2020, 40(1): 148–155.

CHEN Biyun, LI Hongbin, LI Bin. Power operation risk situation awareness based on data mining and CAPSO-SNN[J]. Electric Power Automation Equipment, 2020, 40(1): 148–155.

陈建忠, 褚孝国, 赵霞, 等. 燃煤电站输煤廊道机器人自动巡检系统技术开发与应用[J]. 热力发电, 2019, 48(9): 145–150.

CHEN Jianzhong, CHU Xiaoguo, ZHAO Xia, et al . Development and application of robot automatic inspection system for coal convey ing corridor in thermal power plants[J ] . Thermal Power Generation, 2019, 48(9): 145–150.

丁蓉, 杨俊杰, 吴猛, 等. 变电站巡检机器人高精度定位增强系统的设计与实现[J]. 仪表技术与传感器, 2018(10): 43–46, 62.

DING Rong, YANG Junjie, WU Meng, et al . Design and implementation of high precision positioning augmentation system for inspection robot in substations[J ] . Instrument Technique and Sensor, 2018(10): 43–46, 62.

华志刚, 胡光宇, 吴志功, 等. 基于先进控制技术的机组优化控制系统[J]. 中国电力, 2013, 46(6): 10–15, 21.

HUA Zhigang, HU Guangyu, WU Zhigong, et al . Optimal control system based on advanced control technologies[J ] . Electric Power, 2013, 46(6): 10–15, 21.

徐阳, 谢天喜, 周志成, 等. 基于多维度信息融合的实用型变压器故障诊断专家系统[J]. 中国电力, 2017, 50(1): 85–91.

XU Yang, XIE Tianxi, ZHOU Zhicheng, et al . Practical expert system for transformer fault diagnosis based on multi-dimensional information fusion technology[J ] . Electric Power, 2017, 50(1): 85–91.

韩超, 马欣欣, 沈维春, 等. 智慧安全系统在火电厂中的应用研究[J]. 中国电力, 2019, 52(3): 127–132.

HAN Chao, MA Xinxin, SHEN Weichun, et al . Application research of intelligen t security system in thermal power plants[J ] . Electric Power, 2019, 52(3): 127–132.

冯正伟, 孟宪华, 黄浩林, 等. 变电站智能巡检机器人应用提升研究[J]. 浙江电力, 2019, 38(8): 23–29.

FENG Zhengwei, MENG Xianhua, HUANG Haolin, et al . Research on application and promotion of substation smart patrol robot[J ] . Zhejiang Electric Power, 2019, 38(8): 23–29.

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, 6758.

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, 6758.

姜曼, 刘定宜, 叶泽, 等. 考虑售电公司的跨省区电力交易的资源配置分析[J]. 电力科学与技术学报, 2018, 33(3): 120–127.

JIANG Man, LIU Dingyi, YE Ze, et al . Resource allocation analysis of cross-provincial power trading with the participation of power selling company[J ] . Journal of Electric Power Science and Technology, 2018, 33(3): 120–127.

周保荣, 赵文猛, 徐乾耀, 等. 基于改进萤火虫算法的电力市场多因素博弈均衡研究[J]. 南方电网技术, 2020, 14(3): 54–61.

ZHOU Baorong, ZHAO Wenmeng, XU Qianyao, et al . Research on multi-factor game equilibr ium of electricity market based on improved firefly algorithm[J ] . Southern Power System Technology, 2020, 14(3): 54–61.

顾慧杰, 彭超逸, 许丹莉, 等. 激励性含柔性负荷日前市场出清电价机制的建模[J]. 电力系统保护与控制, 2020, 48(12): 23–32.

GU Huijie, PENG Chaoyi, XU Danli, et al . Research on modeling the incentive electricity pricing mechanism in day-ahead electricity market clearing containing flexible loads[J ] . Power System Protection and Control, 2020, 48(12): 23–32.

吴浩可, 雷霞, 黄涛, 等. 价差返还机制下售电公司博弈模型[J]. 电力系统保护与控制, 2019, 47(12): 84–92.

WU Haoke, LEI Xia, HUANG Tao, et al . A game-theoretic model for retail companies under the spread-rebate mechanism[J ] . Power System Protection and Control, 2019, 47(12): 84–92.

石帮松, 张靖, 李博文, 等. 多类型售电公司共存下竞价售电的市场均衡研究[J]. 电力系统保护与控制, 2018, 46(5): 62–67.

SHI Bangsong, ZHANG Jing, LI Bowen, et al . Market equilibrium study on multiple types of electric power retailers bidding[J ] . Power System Protection and Control, 2018, 46(5): 62–67.

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