Abstract
In this paper a new control strategy of doubly-fed induction generator based wind farms (DFIG-based WFs) is proposed. Since DFIG has an inherent nonlinear behaviour along with condition variantparameters, the system model cannot easily be extracted. Therefore, the conventional model predictive control (MPC) of DFIG-based WFs cannot perform accurately. In this paper a novel model-free adaptive MPC structure is presented to adaptively update the system model by utilizing model identification and auto-regressive moving average (AR-MAX) model, for each sampling time. Simulation results verify the performance of the proposed control structure of DFIG-based WFs compared to the conventional control strategies.
| Originalsprog | Engelsk |
|---|---|
| Titel | 2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020 |
| Forlag | IEEE |
| Publikationsdato | 9. nov. 2020 |
| Artikelnummer | 9265865 |
| ISBN (Trykt) | 978-1-7281-7161-6 |
| ISBN (Elektronisk) | 978-1-7281-7160-9 |
| DOI | |
| Status | Udgivet - 9. nov. 2020 |
| Begivenhed | 21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020 - Aalborg, Danmark Varighed: 9. nov. 2020 → 12. nov. 2020 |
Konference
| Konference | 21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020 |
|---|---|
| Land/Område | Danmark |
| By | Aalborg |
| Periode | 09/11/2020 → 12/11/2020 |
| Navn | Workshop on Control and Modeling for Power Electronics (COMPEL) |
|---|---|
| ISSN | 1093-5142 |
Bibliografisk note
Funding Information:The authors would like to acknowledge the support of ANID through projects FB0008, ACT192013 and 1170167.
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
Finansiering
The authors would like to acknowledge the support of ANID through projects FB0008, ACT192013 and 1170167.