Research on Key Technologies of New Energy Microgrid Based on Artificial Neural Network

Abstract

The new energy microgrid is a new and complex power generation and distribution system. Due to the instability of the new energy wind power generation that constitutes the microgrid, it affects the stable operation of the microgrid. The use of artificial intelligence methods to predict load and wind power generation can improve forecast accuracy, which is beneficial to the energy management and operation optimization of the microgrid. The stable operation of the microgrid is of great significance. This paper takes the new energy microgrid as the research object, and uses artificial intelligence neural network as the technology drive. The short-term load forecasting model and wind power generation forecasting model based on neural network are established. Compared with the traditional forecasting model, the future short-term load and wind power generation are compared respectively. The accuracy of the proposed method is verified by the prediction of the measured quantities. The results show that both the short-term load forecasting method based on neural networks and the forecasting method of wind power generation are suitable for new energy microgrid systems.