Fault Detection and Prevention Strategies in Power Systems  

作　　者：Fuyang Miao 

机构地区：[1]Xihua University

出　　处：《电气工程与自动化(中英文版)》2024年第2期8-12,共5页Electrical Engineering and Automation

摘　　要：Power systems are critical to modern society,but their complexity has increased with the integration of renewable energy and advanced technologies.This paper explores fault detection and prevention strategies essential for ensuring system reliability.We examine traditional methods such as overcurrent and differential protection,as well as advanced techniques including machine learning(ML)and artificial intelligence(AI).Additionally,we discuss fault prevention strategies like predictive maintenance,redundancy,and self-healing grids.Despite advancements,challenges such as the complexity of modern grids,cybersecurity threats,and economic constraints remain.The paper concludes with future prospects,emphasizing emerging technologies and global research initiatives aimed at enhancing grid resilience and security.

关 键 词：Fault Detection Fault Prevention Power Systems Machine Learning Artificial Intelligence Predictive Maintenance 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]