Improved predictive direct power control of shunt active power filter using GWO and ALO – Simulation and experimental study
In order to reduce the maximum overshoot and undershoot of the DC-link voltage variation, and minimize power ripples with low current distortion in accord with IEEE Std. 519–2014, an improved predictive direct power control (PDPC) of three-phase (3-phase) shunt active power filter (SAPF), using two...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/b99856fff1ad4206a0cc9391f1613d69 |
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| Sumario: | In order to reduce the maximum overshoot and undershoot of the DC-link voltage variation, and minimize power ripples with low current distortion in accord with IEEE Std. 519–2014, an improved predictive direct power control (PDPC) of three-phase (3-phase) shunt active power filter (SAPF), using two metaheuristic methods, namely Grey Wolf Optimizer (GWO) and Ant Lion Optimizer (ALO) algorithms, is presented. Simulation studies using MATLAB/Simulink have been carried out to verify the efficacy of the two proposed approaches, PDPC-GWO and PDPC-ALO. In addition, the overall system is validated experimentally in real time using dSPACE 1104 card. Performance of both PDPC-GWO and PDPC-ALO is compared with the conventional method to show their efficacy. The results show that PDPC-ALO is more efficient than both PDPC-GWO and the conventional method. |
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