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山东大学学报 (工学版) ›› 2019, Vol. 49 ›› Issue (5): 1-8.doi: 10.6040/j.issn.1672-3961.0.2019.122

• 电气工程———人工智能应用专题 •    下一篇

人工智能在电力系统恢复中的应用综述

刘玉田1(),孙润稼1,王洪涛1,顾雪平2   

  1. 1. 电网智能化调度与控制教育部重点实验室(山东大学), 山东 济南 250061
    2. 华北电力大学电气与电子工程学院, 河北 保定 071003
  • 收稿日期:2019-03-28 出版日期:2019-10-20 发布日期:2019-10-18
  • 作者简介:刘玉田(1964—)，男，山东青州人，教授，博士生导师，博士，主要研究方向为电力系统运行与控制.E-mail:liuyt@sdu.edu.cn刘玉田，1964年7月生，工学博士，教授，博士生导师，山东省“泰山学者”特聘教授，“百千万人才工程”国家级人选，国务院政府特殊津贴专家，教育部新世纪优秀人才，山东省有突出贡献的中青年专家。专业方向为电力系统运行与控制，担任教育部“电网智能化调度与控制”重点实验室主任，IEEE高级会员，中国电机工程学会理事，电力系统自动化、电网技术、J. of Modern Power Systems and Clean Energy、CSEE J. of Power and Energy Systems、Int. J. of Electrical Power and Energy Systems编委
  • 基金资助:
    国家重点研发计划项目(2017YFB0902600)

Review on application of artificial intelligence in power system restoration

Yutian LIU1(),Runjia SUN1,Hongtao WANG1,Xueping GU2   

  1. 1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China
    2. School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, Hebei, China
  • Received:2019-03-28 Online:2019-10-20 Published:2019-10-18
  • Supported by:
    国家重点研发计划项目(2017YFB0902600)

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摘要：

归纳总结专家系统、模糊数学、进化计算以及机器学习等人工智能方法应用于电力系统恢复的研究成果,指出现有研究仍以离线恢复方法为主,处于在线决策研究起步阶段,并展望人工智能技术在系统恢复中的应用潜力。

关键词: 电力系统恢复, 专家系统, 模糊数学, 进化计算, 机器学习, 深度学习

Abstract:

The research results of expert system, fuzzy mathematics, evolutionary algorithm and machine learning in power system restoration were summarized. It was pointed out that the existing researches were mainly offline restoration method and the researches about online decision-making were in the initial stage. In addition, the application potential of artificial intelligence technology in system restoration was prospected.

Key words: power system restoration, expert system, fuzzy mathematics, evolutionary computation, machine learning, deep learning

中图分类号: 

  • TM732
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