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Title: Multi-Objective Logarithmic Extremum Seeking for Wind Turbine Power Capture with Load Reduction
This paper describes a multi-objective ESC strategy that determines Pareto-optimal control parameters to jointly optimize wind turbine loads and power capture. The method uses two optimization objectives calculated in real time: (a) the logarithm of the average power and (b) the logarithm of the standard deviation of a measurable blade load, tower load or the combination of these loads. These two objectives are weighted in real-time to obtain a solution that is Pareto optimal with respect to the power average and the standard deviation of chosen load metric. The method is evaluated using NREL FAST simulations of the 5-MW reference turbine. The results are then evaluated using energy capture over the duration of the simulation and damage equivalent loads (DEL) calculated with MLife.
Authors:
; ;
Award ID(s):
2040335
Publication Date:
NSF-PAR ID:
10285278
Journal Name:
Multi-Objective Logarithmic Extremum Seeking for Wind Turbine Power Capture with Load Reduction
Page Range or eLocation-ID:
533 to 538
Sponsoring Org:
National Science Foundation
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