Multiobjective optimization and multivariable control of offshore wind turbine system
Doctoral thesis, Peer reviewed
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Renewable energy is a hot topic all over the world. Nowadays, there are several sustainable renewable power solutions out there; hydro, wind, solar, wave and biomass to name a few. Most countries have a tendency to want to become greener. According to the European Wind Energy Association (EWEA), the world wide capacity increased with 44.601 [MW] in 2012. From this number, 27 % accounts for new installed wind power, which is the second biggest contributor after solar (37 %). In the past, all new wind parks were installed onshore. During the last decade more and more wind parks were installed offshore, in shallow water (less than 30 [m]). Now, some of the issues related to onshore turbines can be avoided, such as the visual impact, noise and shadow flicker. If one is to speculate about what the future may hold, it is evident that the next step for companies is to install floating wind parks in deeper water (more than 30 [m]). Offshore conditions far from the shore provide with higher and more stable wind conditions. In such deep water, it is no longer economically viable to install bottom-fixed turbines. A solution is to use floating turbine. A floating turbine gives new and interesting challenges to the control community. This dissertation mainly deals with pitch control of a floating wind turbine. The modeling is also to some extend dealt with, e.g. it is the main topic of paper A. Paper A deals with the bond graph methodology as a graphical approach to model wind turbines. This is an alternative to the more classical Newtonian approach. The purpose is not to validate a specific wind turbine system, but rather explore how the bond graph can contribute with a model and give a better understanding ...
Doktorgradsavhandling i Mekatronikk, Universitetet i Agder Grimstad