摘要
文章旨在研究光伏系统智能故障诊断与维护技术,以提升系统可靠性和稳定性,通过综合分析光伏系统的工作原理、组成结构及现有故障诊断技术,探讨了智能化技术在系统维护中的潜在应用,针对典型故障特征,介绍了数据驱动的故障诊断模型和基于模型的故障预测方法,之后优化了预防性维护策略。研究结果可为光伏系统运维提供高效、可持续的解决方案。
The article aims to study the intelligent fault diagnosis and maintenance technology of photovoltaic systems,in order to improve system reliability and stability.By comprehensively analyzing the working principle,composition structure,and existing fault diagnosis technologies of photovoltaic systems,the potential application of intelligent technology in system maintenance is explored.Based on typical fault characteristics,data-driven fault diagnosis models and model-based fault prediction methods are introduced,and preventive maintenance strategies are optimized.The research results can provide efficient and sustainable solutions for the operation and maintenance of photovoltaic systems.
出处
《电力系统装备》
2024年第4期130-132,共3页
Electric Power System Equipment
关键词
光伏系统
智能故障诊断
维护技术
数据驱动模型
photovoltaic system
intelligent fault diagnosis
maintenance technology
data-driven model
