摘 要:由于人们的生活离不开电力资源,社会越来越关注电网供电的安全问题,电力系统故障将直接影响居民和工厂的正常用电,电力企业当前面临的主要问题是如何提升电力系统故障诊断能力。近年来,人工智能技术在电力系统故障诊断中发挥着越来越重要的作用,其对提高电力系统故障诊断能力有着显著效果。本文主要从人工智能的优点出发,分析探究了电力系统故障诊断中人工智能技术的应用,以此为有效诊断与解决电力系统故障奠定良好基础。
关键词:人工智能技术;电力系统;故障诊断
中图分类号:TP18;TM711 文献标识码:A 文章编号:2096-4706(2019)03-0029-03
Analysis on the Application of Artificial Intelligence Technology in Power System Fault Diagnosis
ZHANG Ruiqiang
(Liaoning Normal University Haihua College,Shenyang 110167,China)
Abstract:Because people can not live without power resources,the society pays more and more attention to the safety of power supply in power grid. The failure of power system will directly affect the normal power consumption of residents and factories. The main problem facing power enterprises is how to improve the power sy stem fault diagnosis ability. In recent years,the emergence of artificial intelligence technology makes it play an important role in power system fault diagnosis,and it has remarkable effect on improving power system fault diagnosis ability. Based on the advantages of artificial intelligence,the application of artificial intelligence technology in fault diagnosis of power system is analyzed in this paper,which lays a good foundation for effective diagnosis and solution of power system fault.
Keywords:artificial intelligence technology;power system;fault diagnosis
参考文献:
[1] 林允. 人工智能技术在电力系统故障诊断中应用 [J]. 中国战略新兴产业,2017(36):140-141.
[2] 赵启纯. 人工智能技术在电力系统故障诊断中的运用分析 [J]. 电脑知识与技术,2017,13(02):183-185.
[3] 郭步阳. 试论人工智能技术在电力系统故障诊断中的应用 [J]. 科技创新与应用,2015(34):206.
作者简介:张瑞强(1997.02-),男,汉族,甘肃陇南人, 本科,研究方向:计算机科学与技术。