文章摘要
杨挺,赵黎媛,王成山.人工智能在电力系统及综合能源系统中的应用综述[J].电力系统自动化,2019,43(1):2-14. DOI: 10.7500/AEPS20180706005.
YANG Ting,ZHAO Liyuan,WANG Chengshan.Review on Application of Artificial Intelligence in Power System and Integrated Energy System[J].Automation of Electric Power Systems,2019,43(1):2-14. DOI: 10.7500/AEPS20180706005.
人工智能在电力系统及综合能源系统中的应用综述
Review on Application of Artificial Intelligence in Power System and Integrated Energy System
DOI:10.7500/AEPS20180706005
关键词: 人工智能  电力系统  综合能源系统  机器学习
KeyWords: artificial intelligence  power system  integrated energy system  machine learning
上网日期:2018-11-28
基金项目:国家重点研发计划资助项目(2018YFB0905000);国家自然科学基金资助项目(61571324);天津市自然科学基金重点项目(16JCZDJC30900);国家国际科技合作专项项目(2013DFA11040)
作者单位E-mail
杨挺 智能电网教育部重点实验室(天津大学), 天津市 300072 yangting@tju.edu.cn 
赵黎媛 智能电网教育部重点实验室(天津大学), 天津市 300072  
王成山 智能电网教育部重点实验室(天津大学), 天津市 300072  
摘要:
      推进能源生产和消费革命,构建清洁低碳安全高效的能源体系,需要发展更加智能的新一代电力系统及综合能源系统。人工智能(AI)是当前最具颠覆性的科学技术之一,在计算智能、感知智能和认知智能方面具有强处理能力。人工智能技术在电力系统和综合能源系统中的应用,将改变能源传统利用模式,促进系统进一步智能化。文中主要从人工智能概述、电力系统及综合能源系统对人工智能的需求,以及人工智能在能源领域中的应用几个层面进行综述和分析,最后对人工智能在电力系统及综合能源系统中应用所面临的挑战进行了分析和展望。
Abstract:
      In order to promote the energy production and consumption revolution and build a clean, low-carbon, secure and efficient energy system, it is necessary to develop a new generation of power system and integrated energy system which are more intelligent. Artificial intelligence is one of the most disruptive technologies in the world, which has strong processing ability in computational intelligence, perceptual intelligence and cognitive intelligence. The application of artificial intelligence in power system and integrated energy system will change the traditional utilization mode of energy and promote the further intellectualization of the system. The contents of this review are as follows: the summary of artificial intelligence, the demand for artificial intelligence in power system and integrated energy system, and the various applications of artificial intelligence in the energy field. Finally, the paper presents the future challenges and opportunities faced by the energy field in the era of artificial intelligence.
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