Research on Fault Diagnosis Method of Power Grid Based on Artificial Intelligence

2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) Pub Date : 2020-12-11 DOI:10.1109/TOCS50858.2020.9339711

Jilei Xu, Haifeng Yue

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引用次数: 4

Abstract

With the development of social science and technology and the rapid development of China's economy, people's living standards have been greatly improved, and there is an increasing demand for power resources in all walks of life and among the people. In the fault diagnosis of power grid, the scientific application of artificial intelligence technology can not only ensure the effective solution of power system operation faults, but also significantly improve the safety performance of power system. Electric power system is an important part to ensure the normal operation of people and enterprises. Because the power system needs to adapt to various working environments, once the power system fails, it will produce serious consequences. All kinds of protection measures in power system can timely generate alarm and abnormal changes of power state when problems occur. Based on this, this paper discusses the application of artificial intelligence technology in power grid fault diagnosis, and studies the power grid fault diagnosis method based on artificial intelligence.

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基于人工智能的电网故障诊断方法研究

随着社会科学技术的发展和中国经济的快速发展，人们的生活水平有了很大的提高，各行各业和人民群众对电力资源的需求越来越大。在电网故障诊断中，科学应用人工智能技术，不仅可以保证电力系统运行故障的有效解决，而且可以显著提高电力系统的安全性能。电力系统是保障人民群众和企业正常运行的重要组成部分。由于电力系统需要适应各种工作环境，一旦电力系统发生故障，将会产生严重的后果。电力系统的各种保护措施能够在出现问题时及时报警，使电力状态发生异常变化。在此基础上，探讨了人工智能技术在电网故障诊断中的应用，研究了基于人工智能的电网故障诊断方法。

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2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)

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