基于模糊自适应技术的光伏发电站系统终端数据传输拥塞检测研究  

Research on Congestion Detection for Terminal Data Transmission in Photovoltaic Power Station Systems Based on Fuzzy Adaptive Technology

作　　者：朱辉 Zhu Hui(China Power Construction Group Jiangxi Electric Power Design Institute Co.,Ltd.,Nanchang,Jiangxi,China,330096)

机构地区：[1]中国电建集团江西省电力设计院有限公司,江西南昌330096

出　　处：《仪器仪表用户》2025年第1期144-146,共3页Instrumentation

摘　　要：由于光伏发电站系统终端数据传输量大,因此传输过程中,易遭受数据拥塞,且光伏发电站系统数据是一组非线性时间序列。因此采用模糊自适应技术分析方法,进行光伏发电站系统数据的特征分析和拥塞异常特征检测。实验结果表明,当数据传输距离为500 m时,模糊自适应技术仍具有234 kbit的数据吞吐量。综上所述,模糊自适应技术具有较低的丢包量,可有效避免光伏发电站系统终端数据传输拥塞。Due to the large amount of data transmitted by photovoltaic power station systems,these systems are prone to data congestion during transmission.Furthermore,the system data of photovoltaic power stations comprises a set of nonlinear time series.Therefore,a fuzzy adaptive technique analysis method is employed to perform feature analysis and congestion anomaly detection on photovoltaic power station system data.Experimental results show that when the data transmission distance is 500 meters,the fuzzy adaptive technique still achieves a data throughput of 234 kbit.In summary,the fuzzy adaptive technique exhibits a low packet loss rate,effectively preventing data transmission congestion at photovoltaic power station system terminals.

关 键 词：模糊自适应技术 光伏发电站系统 数据传输 拥塞检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]