Comparison of Multi-Objective Optimisation of Two Wind Turbine Controller Designs
conference paper
This paper presents a comparison between two pitch controllers for a 10MW wind turbine, a baseline using PI and a state-space model, where each controller’s parameters have been chosen using Bayesian optimization. Four objectives are simultaneously examined: energy output; pitch action; blade load; and tower load. First, it is shown that, for both controllers, using parameters selected from the obtained Pareto fronts achieves higher energy production with less energy consumption of pitch activities and with less load in blade and tower, compared with settings chosen by an expert. Second, in this robust comparison of the capabilities of both controllers, the increased degrees of freedom and reduced simplification in the more advanced controller are seen to have greater potential to improve each of the objectives.
TNO Identifier
955257
ISSN
17426588
Publisher
IOP Publishing
Article nr.
022046
Source title
Science of Making Torque from Wind 2020, TORQUE 2020, 28-2 October 2020, online event
Editor(s)
Watson, S.J.
Collation
10 p.
Place of publication
Bristol, UK