Power quality enhancement for charging station with moving window min–max algorithm based shunt active power filter
The widespread development of charging infrastructure is essential for the projected growth of electric vehicles. These charging stations are non-linear loads and necessitate shunt active power filters (SAPFs) to prevent the propagation of current distortions into the grid. Otherwise, the system eff...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722022156 |
| _version_ | 1811159658094657536 |
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| author | Arpitkumar J. Patel Amit V. Sant |
| author_facet | Arpitkumar J. Patel Amit V. Sant |
| author_sort | Arpitkumar J. Patel |
| collection | DOAJ |
| description | The widespread development of charging infrastructure is essential for the projected growth of electric vehicles. These charging stations are non-linear loads and necessitate shunt active power filters (SAPFs) to prevent the propagation of current distortions into the grid. Otherwise, the system efficiency and power transfer capability would reduce. This paper proposes control of SAPF with a moving window min–max (MWM) algorithm-based computation of the fundamental active component (FAC) of load current. The proposed algorithm computes FAC as the average of the maximum and minimum value of d-axis current over the period corresponding to its lowest order harmonic. The lowest harmonic is six and two for the balanced and unbalanced loading, respectively. Based on whether the currents are balanced or not, the MWM algorithm determines the width of the moving window where the minimum and maximum values are stored for computing FAC. The computational simplicity of this algorithm is evident from the pseudo-code presented. The experimental results show that the proposed method offers faster dynamic and accurate steady-state responses than the low pass filter-based synchronous reference frame method. Furthermore, analysis of SAPF operation with the proposed extraction scheme based on simulations reveals that the charging station operation complies with the power quality standards. |
| first_indexed | 2024-04-10T05:45:58Z |
| format | Article |
| id | doaj.art-fdb554852ce5455a87fefc9c4328b6b5 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T05:45:58Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-fdb554852ce5455a87fefc9c4328b6b52023-03-06T04:14:40ZengElsevierEnergy Reports2352-48472022-12-0188691Power quality enhancement for charging station with moving window min–max algorithm based shunt active power filterArpitkumar J. Patel0Amit V. Sant1Department of Electrical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, IndiaCorresponding author.; Department of Electrical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, IndiaThe widespread development of charging infrastructure is essential for the projected growth of electric vehicles. These charging stations are non-linear loads and necessitate shunt active power filters (SAPFs) to prevent the propagation of current distortions into the grid. Otherwise, the system efficiency and power transfer capability would reduce. This paper proposes control of SAPF with a moving window min–max (MWM) algorithm-based computation of the fundamental active component (FAC) of load current. The proposed algorithm computes FAC as the average of the maximum and minimum value of d-axis current over the period corresponding to its lowest order harmonic. The lowest harmonic is six and two for the balanced and unbalanced loading, respectively. Based on whether the currents are balanced or not, the MWM algorithm determines the width of the moving window where the minimum and maximum values are stored for computing FAC. The computational simplicity of this algorithm is evident from the pseudo-code presented. The experimental results show that the proposed method offers faster dynamic and accurate steady-state responses than the low pass filter-based synchronous reference frame method. Furthermore, analysis of SAPF operation with the proposed extraction scheme based on simulations reveals that the charging station operation complies with the power quality standards.http://www.sciencedirect.com/science/article/pii/S2352484722022156Battery charging stationCurrent harmonicsElectric vehiclesPower qualityShunt active power filter |
| spellingShingle | Arpitkumar J. Patel Amit V. Sant Power quality enhancement for charging station with moving window min–max algorithm based shunt active power filter Energy Reports Battery charging station Current harmonics Electric vehicles Power quality Shunt active power filter |
| title | Power quality enhancement for charging station with moving window min–max algorithm based shunt active power filter |
| title_full | Power quality enhancement for charging station with moving window min–max algorithm based shunt active power filter |
| title_fullStr | Power quality enhancement for charging station with moving window min–max algorithm based shunt active power filter |
| title_full_unstemmed | Power quality enhancement for charging station with moving window min–max algorithm based shunt active power filter |
| title_short | Power quality enhancement for charging station with moving window min–max algorithm based shunt active power filter |
| title_sort | power quality enhancement for charging station with moving window min max algorithm based shunt active power filter |
| topic | Battery charging station Current harmonics Electric vehicles Power quality Shunt active power filter |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722022156 |
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