人工智能应用于电网调控的关键技术分析
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摘要
当前以深度学习为代表的新一代人工智能技术快速发展,作为引领新一轮科技革命和产业变革的战略性技术,已上升为国家战略,备受各行各业关注。电网调控运行作为电力系统运行的"决策大脑",是集大量数据、机理分析、运行规程和专业经验相结合的综合性决策控制,与以数据驱动、知识引导为特征的新一代人工智能发展思路和演进方向十分相近。在分析新一代人工智能技术特点、电网调控运行业务场景及需求的基础上,提出了未来基于人工智能的调度控制系统设计思路、总体架构和主要功能,并从高性能计算、调控大数据、基于深度学习的电网预测及辨识、基于知识图谱的智能辅助决策以及基于语音交互的调度助手等方面,对其关键技术和潜在应用场景进行了分析。最后对未来人工智能在电网调控中的发展进行了小结和展望。
The rapid development of a new generation of artificial intelligence technology represented by deep learning,as a strategic technology that leads a new round of scientific and technological revolution and industrial transformation,has risen to a national strategy and has attracted the attention of all walks of life.As thedecision brain"of power system,regulation and operation of power grid is a comprehensive decision-making control combining a large amount of data,mechanism analysis,operation procedures and professional experience,which is very similar to the development of a new generation of artificial intelligence characterized by data-driven and knowledge-based guidance.Based on the analysis of the characteristics of the new generation of artificial intelligence technology,the business situation and requirements of the power grid regulation operation,the design idea,the overall architecture and main functions of the future artificial intelligence based dispatch control system are proposed.And the key technologies and potential application scenarios are analyzed from the aspects of high performance computing,regulation big data,power system prediction and identification based on deep learning,intelligent assistant decision based on knowledge graph and dispatch assistant based on voice interaction.Finally,the development and future of artificial intelligence in power grid regulation are summarized and forecasted.
The rapid development of a new generation of artificial intelligence technology represented by deep learning,as a strategic technology that leads a new round of scientific and technological revolution and industrial transformation,has risen to a national strategy and has attracted the attention of all walks of life.As thedecision brain"of power system,regulation and operation of power grid is a comprehensive decision-making control combining a large amount of data,mechanism analysis,operation procedures and professional experience,which is very similar to the development of a new generation of artificial intelligence characterized by data-driven and knowledge-based guidance.Based on the analysis of the characteristics of the new generation of artificial intelligence technology,the business situation and requirements of the power grid regulation operation,the design idea,the overall architecture and main functions of the future artificial intelligence based dispatch control system are proposed.And the key technologies and potential application scenarios are analyzed from the aspects of high performance computing,regulation big data,power system prediction and identification based on deep learning,intelligent assistant decision based on knowledge graph and dispatch assistant based on voice interaction.Finally,the development and future of artificial intelligence in power grid regulation are summarized and forecasted.
引文
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[21]黄小庆,陈颉,陈永新,等.大数据背景下的充电站负荷预测方法[J].电力系统自动化,2016,40(12):68-74.DOI:10.7500/AEPS20160323001.HUANG Xiaoqing,CHEN Jie,CHEN Yongxin,et al.Load forecasting method for electric vehicle charging station based on big data[J].Automation of Electric Power Systems,2016,40(12):68-74.DOI:10.7500/AEPS20160323001.
[22]丁坚勇,周凯,田世明,等.基于大数据技术的重要用户供电安全分析[J].电网技术,2016,40(8):2491-2495.DING Jianyong,ZHOU Kai,TIAN Shiming,et al.Big data technology based important user power supply security analysis[J].Power System Technology,2016,40(8):2491-2495.
[23]尚宇炜,马钊,彭晨阳,等.内嵌专业知识和经验的机器学习方法探索:(一)引导学习的提出与理论基础[J].中国电机工程学报,2017,37(19):5560-5571.SHANG Yuwei,MA Zhao,PENG Chenyang,et al.Study of a novel machine learning method embedding expertise:PartⅠproposals and fundamentals of guiding learning[J].Proceedings of the CSEE,2017,37(19):5560-5571.
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