Wind farm modeling based on BP neural network

Abstract

Wind farm modeling is an important research topic, but the traditional mechanism modeling method is difficult to get accurate models. However, performance of the neural network model is superior for identification and approximation of complex nonlinear systems. Especially, the BP network has been widely and successfully used in the engineering field. This paper gives a brief introduction to the BP network, and the network model is used for modeling of wind farms to prove the feasibility of BP model in the field of wind power.