Finite Control Set Model Predictive Control with Kalman Filter Estimation for LCL-type Grid-Tied Inverter

Bingtao Zhang, Weimin Wu, Ning Gao, Eftichios Koutroulis, Henry Shu Hung Chung, Frede Blaabjerg

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Abstract

As one of the most effective control strategies for LCL-type grid-tied inverters (GTIs), the finite control set model predictive control (FCS-MPC) strategy can achieve accurate tracking of the reference value and handle a variety of constraints at the same time. Therefore, it has been employed in industrial applications. However, in order to achieve a better control effect, the traditional FCS-MPC requires multiple voltage and current sensors, which greatly increases the system cost. In addition, sensor failures occur frequently in practical applications, which will significantly reduce the overall performance of the system. Therefore, this paper proposes an improved FCS-MPC strategy (KFE-MPC) based on Kalman filter (KF). The proposed KFE-MPC strategy can reduce the number of sensors and improve the system’s ability to resist sensor failures effectively by utilizing a Kalman filter to estimate voltage and current. A three-phase / 110V LCL-type grid-tied inverter model is established to verify the feasibility and effectiveness of the proposed control strategy.
OriginalsprogEngelsk
TitelProceedings of the 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)
Antal sider6
ForlagIEEE Press
Publikationsdato2021
Sider964-969
Artikelnummer9680968
ISBN (Trykt)978-1-6654-2558-2
ISBN (Elektronisk)978-1-6654-2557-5
DOI
StatusUdgivet - 2021
Begivenhed6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 - Jinan, Kina
Varighed: 20 nov. 202122 nov. 2021

Konference

Konference6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
Land/OmrådeKina
ByJinan
Periode20/11/202122/11/2021

Bibliografisk note

Funding Information:
ACKNOWLEDGMENT This work was supported in part by the National Natural Science Foundation of China under Grant 51877130. This work has also been performed within the framework of the project “eSOLAR: Principle and control of high-efficiency Buck-Boost type Photovoltaic inverter” of the program “Bilateral and Multilateral Research & Technology Cooperation between Greece and China”. In China, this project was funded by National key research and development program under Grant 2017YFE0134300. In Greece, this project was funded by the Operational Program “Competitiveness, Entrepreneurship and Innovation 2014-2020” (co-funded by the European Regional Development Fund) and managed by the General Secretariat of Research and Technology, Ministry of Education, Research, and Religious Affairs under the project eSOLAR/T7ΔKI-00066. This support is gratefully acknowledged.

Publisher Copyright:
© 2021 IEEE.

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