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人工智能应用于电网调控的关键技术分析

闪鑫 陆晓 翟明玉 高宗和 徐春雷 滕贤亮 王波

电力系统自动化2019,Vol.43Issue(1):49-57,9.
电力系统自动化2019,Vol.43Issue(1):49-57,9.DOI:10.7500/AEPS20180629002

人工智能应用于电网调控的关键技术分析

Analysis of Key Technologies for Artificial Intelligence Applied to Power Grid Dispatch and Control

闪鑫 1陆晓 2翟明玉 3高宗和 4徐春雷 1滕贤亮 2王波3

作者信息

  • 1. 南瑞集团(国网电力科学研究院)有限公司, 江苏省南京市 211106
  • 2. 国电南瑞科技股份有限公司, 江苏省南京市 211106
  • 3. 智能电网保护和运行控制国家重点实验室, 江苏省南京市 211106
  • 4. 国网江苏省电力有限公司, 江苏省南京市 210024
  • 折叠

摘要

Abstract

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 thedecision 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.

关键词

机器学习/深度学习/知识图谱/调度助手/调控大数据/故障处置/态势感知

Key words

machine learning/deep learning/knowledge graph/dispatch assistant/regulation big data/fault disposal/situational awareness

引用本文复制引用

闪鑫,陆晓,翟明玉,高宗和,徐春雷,滕贤亮,王波..人工智能应用于电网调控的关键技术分析[J].电力系统自动化,2019,43(1):49-57,9.

基金项目

国家重点研发计划资助项目(2017YFB0902600) This work is supported by National Key R&D Program of China (No. 2017YFB0902600). (2017YFB0902600)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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