AUTHOR=Liu Shu , Wang Lei , Jiang Hongliang , Liu Yan , You Hongyu 

TITLE=Wind Farm Energy Storage System Based on Cat Swarm Optimization–Backpropagation Neural Network Wind Power Prediction

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.850295

DOI=10.3389/fenrg.2022.850295

ISSN=2296-598X

ABSTRACT=To solve the instability problem of wind turbine power output, the wind power was predicted, and a wind power prediction algorithm optimized by BP (Back Propagation) neural network based on CSO (Cat Swarm Algorithm) was studied, and a wind farm energy storage system model was built on this basis.By collecting the wind power plant’s historical wind speed, power and other parameters, the short-term wind farm output power was predicted, and the operation of wind farm energy storage system was controlled to suppress the output power of wind farm when the wind farm was connected to the grid, so as to improve the stability of the output power of wind farm. At the same time, a typical wind farm data was taken as an example to verify the feasibility of the proposed method.