发电技术 ›› 2018, Vol. 39 ›› Issue (2): 106-111.DOI: 10.12096/j.2096-4528.pgt.2018.017

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人工智能在电力系统中的应用研究与实践综述

朱永利1(),尹金良2,*()   

  1. 1 新能源电力系统国家重点实验室(华北电力大学), 河北省 保定市 071003
    2 天津理工大学电气电子工程学院, 天津市 西青区 300384
  • 收稿日期:2018-02-03 出版日期:2018-04-30 发布日期:2018-07-27
  • 通讯作者: 尹金良
  • 作者简介:朱永利(1963),男,教授,博士生导师,研究方向为网络化监控与智能信息处理、电力设备监测大数据处理, yonglipw@163.com
  • 基金资助:
    国家自然科学基金项目(51677072)

Review of Research and Practice of Artificial Intelligence Application in Power Systems

Yongli ZHU1(),Jinliang YIN2,*()   

  1. 1 The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University), Baoding 071003, Hebei Province, China
    2 School of Electrical and Electronic Engineering, Tianjin University of Technology, Xiqing District, Tianjin 300384, China
  • Received:2018-02-03 Published:2018-04-30 Online:2018-07-27
  • Contact: Jinliang YIN
  • Supported by:
    National Natural Science Foundation of China(51677072)

摘要:

人工智能在电力系统中的广泛应用,提高了电力系统的安全性、可靠性和运行能力。按早期、中期和后期3个阶段对相关工作进行了总结,包括20世纪八九十年代专家系统、神经网络等的应用情况,并重点介绍了21世纪初出现的相关向量机的特点、原理及其在电力系统中的应用研究现状。

关键词: 电力系统, 人工智能, 专家系统, 相关向量机

Abstract:

Artificial intelligence was widely used in power systems. It has improved the security, reliability and operation ability of power systems. The related work in the early, middle and late stages was summarized including expert system and neural network and so on in the 1980s and 1990s and relevance vector machine in the early 21st century. The characteristics, principles and application in power systems of relevant vector machines were mainly introduced.

Key words: power system, artificial intelligence, expert system, relevance vector machine