The status quo,composition and characteristics of offshore wind power are analyzed.According to the problems of traditional wind power development and the actual situation of offshore wind power in China,the concept of a digital offshore wind farm is proposed,whose basic features are intelligent control and decision-making,integrated supervision and control,digital data and information,networked communication platform and standard information sharing.Furthermore,five development stages of digital offshore wind farm are given according to the technology maturity and digital level,and the technical characteristics of each stage are analyzed.Finally,a complete technical scheme and the development direction of the digital offshore wind farm are given.
Ultra-short-term Power Prediction for Offshore Wind Farms Based on Dual Channel Graph Convolution Network Model
Electromagnetic Transient Controlled Source Based Decoupling Acceleration Model for Large-scale Offshore Wind Farm
Review of Data-driven Condition Monitoring and Fault Diagnosis Technologies for Wind Turbines
Pilot Protection for VSC-HVDC Transmission Line of Grid-connected Offshore Wind Farm Based on Quasi-power Theorem
Interpretable Power Output Prediction of Multiple Wind Turbines for Offshore Wind Farm Based on Multiple Spatio-temporal Attention Graph Neural Network Model
Related Author
HUANG Lingling
SHI Xiaohua
FU Yang
LIU Yang
YING Feixiang
ZOU Ming
WANG Yan
XU Jianzhong
Related Institution
School of Electrical Engineering, Shanghai University of Electric Power
Engineering Research Center of Offshore Wind Technology Ministry of Education (Shanghai University of Electric Power)
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)
Extra-high Voltage Branch of State Grid Jiangsu Electric Power Co., Ltd.
School of Electrical Engineering, Southeast University