Successful Deployment of Intelligent Operation Control System for Offshore Wind Farms

Publishing time:2023-10-26    Viewer:

Release Date: October 20, 2023

Contributed by: National Key Laboratory of New Energy Power System

Professor Liu Yongqian from NCEPU, along with a CONWIND project team consisting of experts from China and Norway, announced the successful release of an intelligent operation control system for offshore wind farms on October 18th. This significant achievement was unveiled at the 2023 Beijing International Wind Energy Conference and Exhibition (CWP2023), a prestigious global event in the wind power industry. The system marks the first-ever implementation of large-scale offshore wind farm wake optimization control technology and has received certification from the international authority UL Solutions for its enhanced power generation capabilities.


Aligned with China's "dual-carbon" goal, reducing the lifecycle cost of electricity stands as a key direction for advancing offshore wind power technology. Coordinated wake control within existing wind farms holds immense potential for maximizing overall power generation and currently represents a prominent research area in the field of intelligent operation and control technology for wind farms worldwide.

Supported by the National Key R&D Program's special project for international scientific and technological innovation cooperation in offshore wind farm intelligent operation and control technology research (CONWIND), a team of Chinese experts from North China Electricity Power University, China Three Gorges New Energy Group, Shanghai Jiao Tong University, Xinjiang Goldwind Science & Technology, Hohai University, North China University of Water Resources and Electric Power, and Nanjing University of Science and Technology collaborated closely with a Norwegian team comprising experts from research centers such as Bergen University, Norwegian University of Science and Technology, and Norwegian Institute of Technology and Industrial Research. Led by Professor Liu Yongqian, the team achieved breakthroughs in key scientific and technological domains, including real-time multi-point wind condition analysis, a second-level forecast model, CFD predictive calculation method, multi-precision simulation method, and wind power unit running simulation model driven by physics fusion. Additionally, the team implemented the wake deflection control method for offshore wind farms, drawing inspiration from the air fluctuation process. In August 2023, the system was applied at the Dalian Zhuanghe Three Gorges offshore wind farm and entered full field testing.

Mr. Nivedh, the general manager of the international authoritative certification agency UL Solutions Asia Pacific, commented, "The intelligent operation control system of the offshore wind farm developed by this project was successfully utilized during the testing period. The increase in power generation has met the target requirements"

Professor Liu Yongqian highlighted that the intelligent operation control system for offshore wind farms incorporates several innovative outcomes devised by the team. These include the integration of multi-point wind conditions with a second-level forecast model, the utilization of CFD predictive calculation method and multi-precision simulation method, and the application of a physics fusion-driven wind power unit running simulation model. Furthermore, the wake deflection control method employed in offshore wind farms refers to the air fluctuation process.

Under the leadership of Professor Liu, the CONWIND project team, composed of experts from China and Norway, successfully demonstrated the effectiveness of the control system in a large offshore wind farm. The team verified that this technological breakthrough has the potential to be widely promoted and applied in offshore environments. The cost reduction in the lifecycle of electricity holds tremendous significance in enhancing the competitiveness of the offshore wind power industry.

First Trial:Zhangyinuo



Responsible Editor:Chongyichuan

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