Power Line Data Online Acquisition System of Distribution Network Based on ZigBee

Abstract

Energy Internet promotes the vigorous development of new access network services, which requires access networks to provide support for new services quickly, flexibly, and efficiently. The extension and penetration ability of the access network has been continuously enhanced, and it can adapt to the complex operating environment of the distribution side. Because it is close to the end of the power grid, the network is exposed to the public environment, and it is vulnerable to illegal intrusion, security protection, and other issues. In this paper, based on the ZigBee network, through the study of time series and ARIMA prediction model, first of all, the original data is analyzed in time series, then the data is stabilized. The model is determined and established, and finally, the simulation model is predicted. The test proves that the model studied in this paper has high acquisition accuracy and achieves prediction analysis. Timely warning of meteorological temperature is used as a part of the source data, which can save energy and reduce the acquisition cost while ensuring the amount of data collected.