A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions

TL;DR

This paper introduces a control-oriented wind turbine simulation framework that integrates local atmospheric conditions to better evaluate controller performance, addressing a gap in existing simulation tools.

Contribution

It develops a novel WRF-IWT integrated simulation framework that captures local atmospheric effects on turbine dynamics and controller performance.

Findings

The framework accurately models turbine response to local atmospheric perturbations.

Validation shows the model's results align with FAST simulations.

It enhances controller design for real-world wind conditions.

Abstract

Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extremely challenging to evaluate the controller performance with regard to the effect of the variation of local atmospheric conditions. On the other side, it is too late and costly to wait until field test time. To fill this gap, in this paper, we develop a control-oriented turbine dynamic simulation framework to evaluate the controller performance considering the perturbation of local atmospheric conditions. This goal is achieved by integrating an internal wind turbine (IWT) model in the Weather Research and Forecasting (WRF) simulation tool. The proposed framework is implemented on a 5MW reference wind turbine, where the effects of the local atmospheric conditions are illustrated. The controller performance results are compared with those derived from the Fatigue, Aerodynamics, Structures,and Turbulence (FAST) simulator as a validation. Simulation results show that the proposed WRF-IWT model is able to capture the turbine dynamics and controller performance regarding the perturbation of the complex local atmospheric conditions. The proposed framework can be leveraged to assist in designing controllers, which is more applicable to real-world wind conditions.