| 引用本文: | 鞠平,周孝信,陈维江,余一平,秦川,李若梅,王成山,董旭柱,刘健,文劲宇,刘玉田,李扬,陈庆,陆晓,孙大雁,徐春雷,陈星莺,吴峰,马宏忠.“智能电网+”研究综述[J].电力自动化设备,2018,(5): |
| JU Ping,ZHOU Xiaoxin,CHEN Weijiang,YU Yiping,QIN Chuan,LI Ruomei,WANG Chengshan,DONG Xuzhu,LIU Jian,WEN Jinyu,LIU Yutian,LI Yang,CHEN Qing,LU Xiao,SUN Dayan,XU Chunlei,CHEN Xingying,WU Feng,MA Hongzhong.“Smart Grid Plus” research overview[J].Electric Power Automation Equipment,2018,(5): |
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| “智能电网+”研究综述 |
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鞠平1,2, 周孝信3, 陈维江4, 余一平1,2, 秦川1,2, 李若梅5, 王成山6, 董旭柱7, 刘健8, 文劲宇9, 刘玉田1, 李扬1,1, 陈庆1,2, 陆晓1,2, 孙大雁1,1,2, 徐春雷1,2, 陈星莺1,2, 吴峰1,2, 马宏忠1,2
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1.河海大学 能源与电气学院，江苏 南京 211100;2.河海大学 可再生能源发电技术教育部工程研究中心，江苏 南京 211100;3.中国电力科学研究院，北京 100192;4.国家电网公司，北京 100031;5.中国电机工程学会，北京 100761;6.天津大学 教育部智能电网重点实验室，天津 300072;7.南方电网科学研究院有限责任公司，广东 广州 510080;8.陕西电力科学研究院，陕西 西安 710054;9.华中科技大学 电气与电子工程学院 强电磁工程与新技术国家重点实验室，湖北 武汉 430074
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| 摘要: |
| 智能电网SG(Smart Grid)是电力系统发展的必然趋势，其核心要义便是“智能”，但目前智能水平还很低。而人工智能AI(Artificial Intelligence)技术取得了突破性进展，为SG的发展提供了重大机遇和强大支撑。为此，提出“智能电网+(Smart Grid Plus, SG+)”的概念，涵义是借助AI技术实现SG的升级版，使电网具有更高级、更深层的人工智能，从而进一步提升电网运行的安全性、经济性、可持续性。首先综述AI的研究进展，指出AI并非万能、也非无能；然后综述SG的研究进展，指出SG发展中“三高”(高比例新能源并网、高比例电力电子装置、高比例新负荷接入)和“三多”(多种能源相结合、多种网络相结合、多种主体相结合)的趋势。在回顾AI在电力行业应用的基础上，结合以深度学习为代表的第三代AI技术的发展，对深度学习等AI技术在SG适用的相关领域进行分析和展望。 |
| 关键词: 智能电网 人工智能 深度学习 智能电网+ |
| DOI：10.16081/j.issn.1006-6047.2018.05.001 |
| 分类号:TM74 |
| 基金项目:111引智计划“新能源发电与智能电网学科创新引智基地”资助项目(B14022)；国家自然科学基金资助项目(51407060,51422701) |
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| “Smart Grid Plus” research overview |
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JU Ping1,2, ZHOU Xiaoxin3, CHEN Weijiang4, YU Yiping1,2, QIN Chuan1,2, LI Ruomei5, WANG Chengshan6, DONG Xuzhu7, LIU Jian8, WEN Jinyu9, LIU Yutian1, LI Yang1,1, CHEN Qing1,2, LU Xiao1,2, SUN Dayan1,1,2, XU Chunlei1,2, CHEN Xingying1,2, WU Feng1,2, MA Hongzhong1,2
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1.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;2.Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China;3.China Electric Power Research Institute, Beijing 100192, China;4.State Grid Corporation of China, Beijing 100031, China;5.Chinese Society for Electrical Engineering, Beijing 100761, China;6.Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;7.Electric Power Research Institute of China Southern Power Grid, Guangzhou 510080, China;8.Shaanxi Electric Power Research Institute, Xi'an 710054, China;9.State Key Laboratory of Advanced Electromagnetic Engineering and Technology(AEET),School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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| Abstract: |
| SG(Smart Grid) is the inevitable trend of the electrical power system. Its core idea is “smart”,but SG is not “smart” enough yet. In recent years, the AI(Artificial Intelligence) technology has made breakthrough progress, providing great opportunities and powerful support for the development of SG. For this reason, a novel concept,“SG+”(Smart Grid Plus),is proposed. It is an upgraded version of SG with higher and deeper intelligence by drawing support from AI. It will further improve the safety, efficiency and sustainability of the electrical power system. The research and development progresses of AI technology are reviewed. It is pointed out that AI is not a panacea, nor is it incompetent. After a review of the development progress of SG, the key trends in SG are highlighted. One is the integration of high proportion of renewable generations, power electronic devices and active loads, the other is the combination of multiple-energy carriers, multiple-energy networks, and multiple operating modes. Finally, the applications of AI, particularly the 3rd generation technologies such as deep learning, in the electrical power systems are reviewed. Moreover, the research topics of “SG+” are discussed and prospected. |
| Key words: Smart Grid artificial intelligence deep learning Smart Grid Plus |
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