摘要
随着光伏系统并网规模的扩大,谐波问题日益凸显,对电网稳定及电能质量造成影响。文章分析了谐波产生的原因,并探讨了时频分析、智能算法、智能传感器及物联网技术、分布式监测与云计算平台等技术在谐波检测与监测中的应用。这些技术有助于谐波源识别、功率质量提升、故障诊断预防及运维优化。未来,随着智能化和自动化水平的提高,以及多源数据融合和云计算技术的应用,光伏系统谐波问题将得到更有效的解决。
With the expansion of the grid-connected photovoltaic(PV)system,the harmonic problem has become increasingly prominent,affecting grid stability and power quality.This article analyzes the causes of harmonics and explores the application of technologies such as time-frequency analysis,intelligent algorithms,intelligent sensors and the Internet of Things(IoT),distributed monitoring,and cloud computing platforms in harmonic detection and monitoring.These technologies contribute to harmonic source identification,power quality improvement,fault diagnosis and prevention,and optimization of operation and maintenance.In the future,with the improvement of intelligence and automation levels,as well as the application of multi-source data fusion and cloud computing technologies,the harmonic issue in PV systems will be addressed more effectively.
作者
林盛
Lin Sheng(State Grid Shaoyang Electric Power Supply Company,Shaoyang,Hunan,422000)
出处
《仪器仪表用户》
2024年第9期53-55,共3页
Instrumentation
关键词
光伏系统
谐波检测
实时监测
时频分析
智能算法
photovoltaic system
harmonic detection
real-time monitoring
time-frequency analysis
intelligent algorithm
