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Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms

pmid: 35458807
pmc: PMC9028522
In recent years, with the development of wind energy, the number and scale of wind farms have been developing rapidly. Since offshore wind farms have the advantages of stable wind speed, being clean, renewable, non-polluting, and the non-occupation of cultivated land, they have gradually become a new trend in the wind power industry all over the world. The operation and maintenance of offshore wind power has been developing in the direction of digitization and intelligence. It is of great significance to carry out research on the monitoring, operation, and maintenance of offshore wind farms, which will be of benefit for the reduction of the operation and maintenance costs, the improvement of the power generation efficiency, improvement of the stability of offshore wind farm systems, and the building of smart offshore wind farms. This paper will mainly summarize the monitoring, operation, and maintenance of offshore wind farms, with particular focus on the following points: monitoring of “offshore wind power engineering and biological and environment”, the monitoring of power equipment, and the operation and maintenance of smart offshore wind farms. Finally, the future research challenges in relation to the monitoring, operation, and maintenance of smart offshore wind farms are proposed, and the future research directions in this field are explored, especially in marine environment monitoring, weather and climate prediction, intelligent monitoring of power equipment, and digital platforms.
- Electric Power Research Institute United States
- Changzhou Institute of Technology China (People's Republic of)
- Institute of Oceanographic Instrumentation China (People's Republic of)
- Changchun Institute of Technology China (People's Republic of)
- Northeast Electric Power University China (People's Republic of)
FOS: Computer and information sciences, I.2, Energy-Generating Resources, Farms, intelligent maintenance, Computer Science - Artificial Intelligence, Climate, TP1-1185, Review, Wind, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, 90B25, intelligent monitoring, FOS: Electrical engineering, electronic engineering, information engineering, intelligent operation, Weather, Chemical technology, status monitoring, smart offshore wind farm, Artificial Intelligence (cs.AI)
FOS: Computer and information sciences, I.2, Energy-Generating Resources, Farms, intelligent maintenance, Computer Science - Artificial Intelligence, Climate, TP1-1185, Review, Wind, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, 90B25, intelligent monitoring, FOS: Electrical engineering, electronic engineering, information engineering, intelligent operation, Weather, Chemical technology, status monitoring, smart offshore wind farm, Artificial Intelligence (cs.AI)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).70 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
