光伏发电大数据远程传输质量实时监测研究

Research on real-time monitoring of large data transmission quality in photovoltaic power generation

为有效降低光伏发电大数据在传输路径上的无用损耗,提升远距离输送电子的物理应用价值,提出一种基于RASMF结构的光伏发电大数据远程传输质量实时监测算法。利用MDI光伏发电指标,计算光伏电压、电流的基本量,并以此为依据测量大数据包的传输时延,完成光伏发电大数据的传输需求分析。在此基础上,通过RASMF实时监测框架,确定光伏发电大数据的传输质量精度,并对远程传输质量的实时监测流程进行完善,实现新型算法的搭建,完成光伏发电大数据远程传输质量实时监测研究。对比实验结果表明,与现有技术手段相比,应用RASMF监测算法后,光伏发电大数据无用损耗率下降至50%左右,完成保值远距离输送的电子总量提升明显。

In order to effectively reduce the useless loss of large data in the transmission path of photovoltaic power generation and enhance the physical application value of long-distance transmission of electronics,a real-time monitoring algorithm for large data transmission quality of photovoltaic power generation based on RASMF structure is proposed.Using MDI photovoltaic power generation index,the basic quantities of photovoltaic voltage and current are calculated.Based on this,the transmission delay of large data packets is measured,and the transmission demand of large data for photovoltaic power generation is analyzed.On this basis,through RASMF real-time monitoring framework,the transmission quality accuracy of large data of photovoltaic power generation is determined,and the real-time monitoring process of long-distance transmission quality is improved,the new algorithm is built,and the real-time monitoring of large data transmission quality of photovoltaic power generation is completed.The experimental results show that,compared with the existing technology,the useless loss rate of large data of photovoltaic power generation decreases to about 50%after applying RASMF monitoring algorithm,and the total amount of electrons transported over long distance with preservation increases significantly.