光伏系统的智能故障诊断与维护技术研究
Research on Intelligent Fault Diagnosis and Maintenance Technology of Photovoltaic System
李帅1
作者信息
- 1. 晋能清洁能源光伏发电有限责任公司,山西太原 030001
- 折叠
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.
Abstract
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.
关键词
光伏系统/智能故障诊断/维护技术/数据驱动模型Key words
photovoltaic system/intelligent fault diagnosis/maintenance technology/data-driven model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据