conventional evaluation methods developed for onshore wind farms are no longer suitable for offshore wind farms. To solve this problem
the need of combined repair has been fully considered and introduced into the traditional operation and maintenance(O&M)process to develop a more realistic and optimal process for offshore wind farms. The combined repair oriented O&M model for offshore wind farm has been implemented by dividing the O&M process into sub-modules and studying the mathematical simulation for each sub-module
including fault detection
spare-part management and offshore maintenance. Simulation results show that the O&M model developed can simulate the O&M for differently sized offshore wind farms under various environmental conditions and predict their availability
power generation
power loss and O&M cost with good accuracy. In addition
the implementation of this O&M model along with the sensitivity analysis method can assist in determining the optimal parameters for O&M vessels. This work is supported by National High Technology Research and Development Program of China(863 Program)(No. 2012AA051707)and China Huaneng Group(No. HNKJ13-H20-01).
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
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
Distributed Optimization Method for Operation Power of Large-scale Offshore Wind Farm Based on Two-step Processing
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)
School of Electrical Engineering, Shandong University
School of Electrical and Electronic Engineering, Nanyang Technological University