Wind Turbines Partial Load Power Regulation Using a Fast MPC Approach

TL;DR

This paper presents two Model Predictive Control methods for wind turbines to optimize power output in partial load conditions, ensuring constraint satisfaction and handling nonlinearities, with a comparative analysis of their effectiveness.

Contribution

It introduces online and offline MPC schemes specifically designed for wind turbine power regulation in partial load regions, addressing nonlinearities and constraints.

Findings

Both MPC methods effectively regulate power and maintain constraints.

The methods outperform traditional control strategies in simulation.

Offline MPC shows faster response, online MPC offers better adaptability.

Abstract

In this paper, the highly acknowledged advantages of the Model Predictive Control (MPC) approach are utilized to regulate the wind turbines' output power in the partial load region. In this region, the purpose of the designed controller is to capture maximum power from the wind. When the wind speed is above rated wind speed (full load region), control strategy is to keep output power and generator speed at their rated value. Because of the wind turbine's nonlinearities and constraints of the variables this is a challenging problem and two MPC-based methods are proposed, i.e. online and offline MPC schemes, that guarantee all constraints satisfaction and handling the systems nonlinearities. At the end, effectiveness of these two methods are compared.