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
[ "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" ]
尹金良(1982), 男, 博士, 讲师, 研究方向为人工智能在电力系统中的应用和电力系统运行、分析与控制, 本文通讯作者, yinjinliang2007@126.com
收稿:2018-02-03,
纸质出版:2018-04-28
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朱永利, 尹金良. 人工智能在电力系统中的应用研究与实践综述[J]. 发电技术, 2018,39(2):106-111.
Yongli ZHU, Jinliang YIN. Review of Research and Practice of Artificial Intelligence Application in Power Systems[J]. Power Generation Technology, 2018, 39(2): 106-111.
朱永利, 尹金良. 人工智能在电力系统中的应用研究与实践综述[J]. 发电技术, 2018,39(2):106-111. DOI: 10.12096/j.2096-4528.pgt.2018.017.
Yongli ZHU, Jinliang YIN. Review of Research and Practice of Artificial Intelligence Application in Power Systems[J]. Power Generation Technology, 2018, 39(2): 106-111. DOI: 10.12096/j.2096-4528.pgt.2018.017.
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。
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.
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尹金良, 朱永利, 俞国勤.基于多分类相关向量机的变压器故障诊断新方法[J].电力系统保护与控制, 2013, 41(5):77-82.
律方成, 金虎, 王子建, 等.基于主成分分析和多分类相关向量机的GIS局部放电模式识别[J].电工技术学报, 2015, 30(6):225-231.
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朱永利, 尹金良.组合核相关向量机在电力变压器故障诊断中的应用研究[J].中国电机工程学报, 2013, 33(22):68-74.
尚海昆, 苑津莎, 王瑜, 等.多核多分类相关向量机在变压器局部放电模式识别中的应用[J].电工技术学报, 2014, 29(11):221-228.
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