Conference paper
Multi-Agent Model for Fatigue Control in Large Offshore Wind Farm
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.
| Language: | English |
|---|---|
| Publisher: | IEEE Computer Society Press |
| Year: | 2008 |
| Pages: | 71-75 |
| Proceedings: | 2008 International Conference on Computational Intelligence and Security |
| ISBN: | 0769535089 , 1538656647 , 9780769535081 and 9781538656648 |
| Types: | Conference paper |
| DOI: | 10.1109/CIS.2008.131 |
| ORCIDs: | Shen, Wen Zhong |
Automatic control Communication networks Communication system control Fatigue Large-scale systems Life estimation Multi-Agent model Network synthesis Simulink Uppaal Tiga Wind energy Wind farms Wind turbines automatic agent controller synthesis fatigue fatigue control fatigue distribution large offshore wind farm multi-agent model multi-agent systems offshore installations offshore wind farm wind power delivery wind power plants wind turbine wind turbine fatigue wind turbines
