An adaptive controlled STATCOM and SMES for LVRT augmentation of the renewable integrated AC-microgrid
This paper focuses on improving the low voltage ride-through (LVRT) capability of grid-integrated AC-Microgrid (AC-MG) during grid faults. Enhancing LVRT ensures grid connectivity during faults and helps meet grid code requirements. The paper explores LVRT improvement topologies for the renewable-in...
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Elsevier
2025-02-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025007066 |
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| author | Javed Khan Bhutto |
| author_facet | Javed Khan Bhutto |
| author_sort | Javed Khan Bhutto |
| collection | DOAJ |
| description | This paper focuses on improving the low voltage ride-through (LVRT) capability of grid-integrated AC-Microgrid (AC-MG) during grid faults. Enhancing LVRT ensures grid connectivity during faults and helps meet grid code requirements. The paper explores LVRT improvement topologies for the renewable-integrated AC-MG, discussing their advantages and disadvantages in reducing over-voltages and voltage fluctuations in the grid. To augment the transient stability of the AC-MG, a new hybrid algorithm approach, the least mean-square (LMS) and the maximum Versoria criterion (MVC)-based adaptive algorithm, is proposed in this paper for the voltage source converter (VSC)-STATCOM and VSC of the superconducting magnetic energy storage (SMES) device. The MVC algorithm augments the transient stability of the grid-coupled AC-MG by dynamically adjusting both the PI controllers of the VSC and the dc-dc chopper in the SMES system and VSC-STATCOM through rapid convergence velocity. A practical 1 MVAR STATCOM and 0.78 MW SMES system is connected at the PCC of AC-MG. The validation of the proposed MVC-PI controllers for the STATCOM and SMES systems is compared with the least mean square (LMS)-based PI controllers under grid disturbances. The proposed control topology is implemented using MATLAB/Simulink software. The power quality of AC-MG can be further augmented by the controlled SMES and STATCOM systems. |
| format | Article |
| id | doaj-art-5956019a0bbc4cbf90b7c53d98460b5f |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-5956019a0bbc4cbf90b7c53d98460b5f2025-02-05T04:32:18ZengElsevierHeliyon2405-84402025-02-01113e42326An adaptive controlled STATCOM and SMES for LVRT augmentation of the renewable integrated AC-microgridJaved Khan Bhutto0Department of Electrical Engineering, College of Engineering, King Khalid University, Abha, Saudi ArabiaThis paper focuses on improving the low voltage ride-through (LVRT) capability of grid-integrated AC-Microgrid (AC-MG) during grid faults. Enhancing LVRT ensures grid connectivity during faults and helps meet grid code requirements. The paper explores LVRT improvement topologies for the renewable-integrated AC-MG, discussing their advantages and disadvantages in reducing over-voltages and voltage fluctuations in the grid. To augment the transient stability of the AC-MG, a new hybrid algorithm approach, the least mean-square (LMS) and the maximum Versoria criterion (MVC)-based adaptive algorithm, is proposed in this paper for the voltage source converter (VSC)-STATCOM and VSC of the superconducting magnetic energy storage (SMES) device. The MVC algorithm augments the transient stability of the grid-coupled AC-MG by dynamically adjusting both the PI controllers of the VSC and the dc-dc chopper in the SMES system and VSC-STATCOM through rapid convergence velocity. A practical 1 MVAR STATCOM and 0.78 MW SMES system is connected at the PCC of AC-MG. The validation of the proposed MVC-PI controllers for the STATCOM and SMES systems is compared with the least mean square (LMS)-based PI controllers under grid disturbances. The proposed control topology is implemented using MATLAB/Simulink software. The power quality of AC-MG can be further augmented by the controlled SMES and STATCOM systems.http://www.sciencedirect.com/science/article/pii/S2405844025007066AC-MicrogridAdaptive algorithmLow voltage ride-throughSTATCOMVoltage source converterRenewable |
| spellingShingle | Javed Khan Bhutto An adaptive controlled STATCOM and SMES for LVRT augmentation of the renewable integrated AC-microgrid Heliyon AC-Microgrid Adaptive algorithm Low voltage ride-through STATCOM Voltage source converter Renewable |
| title | An adaptive controlled STATCOM and SMES for LVRT augmentation of the renewable integrated AC-microgrid |
| title_full | An adaptive controlled STATCOM and SMES for LVRT augmentation of the renewable integrated AC-microgrid |
| title_fullStr | An adaptive controlled STATCOM and SMES for LVRT augmentation of the renewable integrated AC-microgrid |
| title_full_unstemmed | An adaptive controlled STATCOM and SMES for LVRT augmentation of the renewable integrated AC-microgrid |
| title_short | An adaptive controlled STATCOM and SMES for LVRT augmentation of the renewable integrated AC-microgrid |
| title_sort | adaptive controlled statcom and smes for lvrt augmentation of the renewable integrated ac microgrid |
| topic | AC-Microgrid Adaptive algorithm Low voltage ride-through STATCOM Voltage source converter Renewable |
| url | http://www.sciencedirect.com/science/article/pii/S2405844025007066 |
| work_keys_str_mv | AT javedkhanbhutto anadaptivecontrolledstatcomandsmesforlvrtaugmentationoftherenewableintegratedacmicrogrid AT javedkhanbhutto adaptivecontrolledstatcomandsmesforlvrtaugmentationoftherenewableintegratedacmicrogrid |