Study of A Quality Monitoring System of Electric Power Using Internet of Things Technology

Abstract

Abstract For the purpose of ensuring the safety of energy supply, as well as satisfying the growing demands of production and living for power and energy, based on the operating principles of radio frequency identification (RFID) technology of Internet of Things, the basic architecture of power Internet of Things is constructed, and a quality monitoring system of electric power is designed. Also, in combination with the chaotic time series theory and the radial primary function network, a modeling forecasting method is proposed. By using this model, the temperature of device hot spots in the substation monitoring system is forecast. The results show that the development curves of the forecast value and the true value are similar, which indicates that the forecast value is close to the true value. Therefore, the error between them is small. The modeling forecasting method combining the chaotic time series theory with the radial primary function network proposed in this study can forecast the temperature of device hot spots in substation monitoring system effectively. In addition, the model also has better forecast accuracy, which can be applied to the forecast and analysis of device temperature.