Title :
Multi-Agent Model for Fatigue Control in Large Offshore Wind Farm
Author :
Zhao, Rongyong ; Su, Yongqing ; Knudsen, Torben ; Bak, Thomas ; Shen, WenZhong
Author_Institution :
CIMS Res. Center, Tongji Univ., Shanghai, China
Abstract :
To control wind turbine fatigue and optimize the fatigue distribution for offshore wind farm, a control network model is proposed based on Multi-Agent theory. A typical model of large-scale offshore wind farm is described. Power fatigue of individual wind turbine is defined. In offshore wind farm, a fatigue distribution estimation approach is studied. The Multi-Agent network is modeled based on the current communication network. All wind turbines act as independent agents, and can self-organize into wind power delivery groups adaptively according to the real wind direction. A solution for automatic agent controller synthesis using Uppaal Tiga and Simulink is presented. The fatigue distribution can be optimized to prolong the service time of a wind farm. This approach can also save some of the maintenance cost due to the expensive logistic visit by helicopters. Finally, a typical simulation result illustrates the feasibility of this multi-agent model.
Keywords :
fatigue; multi-agent systems; offshore installations; wind power plants; wind turbines; Simulink; Uppaal Tiga; automatic agent controller synthesis; fatigue control; fatigue distribution; large offshore wind farm; multi-agent model; wind power delivery; wind turbine fatigue; Automatic control; Communication networks; Communication system control; Fatigue; Large-scale systems; Life estimation; Network synthesis; Wind energy; Wind farms; Wind turbines; Multi-Agent model; fatigue; offshore wind farm; wind turbine;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.131