Application of artificial intelligence neural network in new energy microgrid

Newenergy microgrid is a new and complicated distribution system. Due to the instability of the new energy wind power generation which constitutes the microgrid, the stable operation of the microgrid is affected. The use of artificial intelligence method to predict load and wind power generation can improve the accuracy of prediction, which is conducive to the energy management and operation optimization of micro-grid, and is of great significance to the stable operation of micro-grid. In this paper, artificial intelligence neural network technology was applied to establish a short-term load forecasting model and wind power generation forecasting model based on the neural network of RBF(Radial Basis Function), and the short-term load and wind power generation were respectively predicted for the next 24h. The validity and feasibility of the proposed method are verified by the error between the predicted results and the measured values. The results show that both the short-term load forecasting method based on RBF neural network and the wind power generation forecasting method are suitable for the micro-grid system.