A novel LMI-based robust model predictive control for DFIG-based wind energy conversion systems

Title:

A novel LMI-based robust model predictive control for DFIG-based wind energy conversion systems

Creator:

Gholami, Amir , Sahab, Alireza , Tavakoli , Abdolreza , and Alizadeh, Behnam

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:616cae0a-de2f-4333-9ae6-536f48bbb748
uuid:616cae0a-de2f-4333-9ae6-536f48bbb748
doi:10.14736/kyb-2019-6-1034

Subject:

linear matrix inequality, optimization, robust model predictive control, doubly fed induction generator, and active and reactive power

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The optimal and reliable performance of doubly fed induction generator is essential for the efficient and optimal operation of wind energy conversion systems. This paper considers the nonlinear dynamic of a DFIG linked to a power grid and presents a new robust model predictive control technique of active and reactive power by the use of the linear matrix inequality in DFIG-based WECS. The control law is obtained through the LMI-based model predictive control that allows considering both economic and tracking factors by optimization of an objective function, constraints on control signal and states of system and effects of nonlinearities, generator parameter uncertainties and external disturbances. Robust stability in the face of bounded disturbances and generator uncertainty is shown using Lyapunov technique. Numerical simulations show that the proposed control method is able to meet the desired specification in active and reactive power control in the presence of varieties of wind speed and pitch angle.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

1034-1049

Source:

Kybernetika | 2019 Volume:55 | Number:6

Harvested from:

CDK

Metadata only:

false