Lin Yongjun

Prediction of solar radiation intensity in clear sky based on AOD estimation model

Atmospheric aerosol is one of the most important factors that cause the random variation of solar radiation intensity. In view of the problem that the atmospheric aerosol optical depth (AOD) is difficult to obtain real-timely with high accuracy, BP neural network method is adopted to estimate the AOD based on PM2.5 concentration, PM10 concentration, air temperature and air relative humidity that from air quality monitoring station; then, take AOD and precipitable water as main change parameters, REST2 model is simplified to calculate direct solar radiation intensity and scattered radiation intensity in clear sky. Experimental results show that the proposed method for predicting solar radiation intensity in clear sky is of high precision and easy to be realized.

Grid-connected current control of micro inverter based on ANN inverse model

The flyback type grid-connected micro inverter has received much attention because of its simple structure and electrical isolation characteristics. However, due to the nonlinear characteristics of the flyback converter, a large amount of harmonic currents are generated during the operation process. In this paper, an inverse control method is proposed to improve the grid current quality of flyback type micro inverter. The mathematical model of the inverter is established by small signal method, and the major factors affecting the grid-connected current are discussed. Then inverse model of the system is established by ANN method and the inverse control method is proposed. Simulation results indicate that compared with conventional PID control method, the presented method could effectively reduce the harmonic content of grid-connected current.

Implementation and design of a communication system of an agent-based automated substation

A substation system requires that communication be transmitted reliably, accurately and in real-time. Aimed at solving problems, e.g., flow confliction and sensitive data transmission, a model of the communication system of an agent-based automated substation is introduced. The running principle is discussed in detail and each type of agent is discussed further. At the end, the realization of the agent system applied to the substation is presented. The outcome shows that the communication system of an agent-based automated substation improves the accuracy and reliability of the data transfer and presents it in real-time.