A simplified model predictive control for shunt active power filter using modified instantaneous power theory under polluted grid conditions

• Autorzy: Bouchikha Hocine , Mesbahi Nadhir , Heguig Larouci , Ouari Ahmed
• Języki publikacji: EN

Abstrakty

EN

This paper proposes a simplified finite control set model predictive control (FCS-MPC) strategy for a three-phase shunt active power filter (SAPF), which is based on a vector operation technique (VOT). In the conventional FCS-MPC, the optimal switching state is selected based on the evaluation and minimization of a cost function for all possible voltage vectors of the voltage source inverter (eight different vectors). The proposed FCS-MPC performs like a conventional FCS-MPC where the selection and evaluation of the possible voltage vectors are reduced by half (four vectors). The reduction in the computational burden is evident. In this study, the modified version of the instantaneous power theory based on a high selectivity filter is used to extract reference current components which increase the selectivity and the dynamic performance of SAPF. Simulation results demonstrate the effectiveness and reliability of the SAPF with the proposed control strategy under polluted grid conditions.

Słowa kluczowe

EN

shunt active power filter; SAPF; model predictive control; MPC; high selectivity filter; HSF; instantaneous power theory; non-ideal grid voltages

PL

bocznikowy filtr mocy czynnej; sterowanie predykcyjne modelu; filtr o wysokiej selektywności; teoria mocy chwilowej; nieidealne napięcia sieciowe

• Wydawca: Institute of Heat Engineering, Warsaw University of Technology
• Czasopismo: Journal of Power Technologies
• Rocznik: 2022
• Tom: Vol. 102, nr 1
• Strony: 14--24
• Opis fizyczny: Bibliogr. 20 poz., rys., tab., wykr.

Twórcy

autor

Bouchikha Hocine

• Department of Electrical Engineering, Faculty of Sciences Engineering, Badji-Mokhtar- Annaba University, P.O. Box 12, 23000, Annaba, Algeria

autor

Mesbahi Nadhir

• Laboratoire de Génie Electrique et des Energies Renouvelables d’El Oued (LGEERE), Department of Electrical Engineering, Faculty of Technology, University of El Oued, 39000 El Oued, Algeria

autor

Heguig Larouci

• Institute of Science, Nour Bachir University Center - El Bayadh, Algeria

autor

Ouari Ahmed

• Department of Electrical Engineering, Faculty of Sciences Engineering, Badji-Mokhtar- Annaba University, P.O. Box 12, 23000, Annaba, Algeria

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).