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Multi-objective Optimization under Uncertainty of a Continuously Variable Transmission for a 1.5 MW Wind Turbine
Abstract:
This article presents an original methodology for the multi-objective
optimization of Continuously Variable Transmission (CVT) for a wind turbine
(WT). The objective functions of this optimization problem are to minimize the
weight and maximize efficiency. This methodology also considers the variations
of parameters caused by different factors (manufacturing tolerance,
uncertainties in the operating conditions). Using a probabilistic model, the
proposed algorithm combines a propagation of uncertainties and an optimization
of the function objectives. The optimization is performed using the
Non-dominated Sorting Genetic Algorithm (NSGA-II) with the advantage of
exploring the global design space and finding the best compromise between the
objectives. In order to verify the solution obtained by this approach, results
were compared to the ones obtained by a previous study.