电力系统中基于人工智能的故障预测技术

Artificial Intelligence Based Fault Prediction Technology in Power Systems

为提高电力系统故障预测的准确性与及时性,基于人工智能算法,以机器学习和深度学习算法技术为基础,设计一套故障预测系统。介绍系统总体设计、关键技术选型、功能模块设计及硬件选型,并对系统进行全面实验测试。结果表明,基于人工智能的故障预测技术能显著提高电力系统的故障预测准确性和响应速度,为电力系统的安全运行提供重要保障。

In order to improve the accuracy and timeliness of power system fault prediction,this study designs a fault prediction system based on artificial intelligence algorithms and machine learning and deep learning algorithm technologies.Through overall system design,key technology selection,functional module design,hardware selection,and comprehensive experimental testing of the system.The results indicate that artificial intelligence based fault prediction technology can significantly improve the accuracy and response speed of fault prediction in power systems,providing important guarantees for the safe operation of power systems.