Low voltage ride through enhancement using grey wolf optimizer to reduce overshoot current in the grid-connected PV system
In today's world, the DG should not be disconnected in the event of a power outage but should instead remain linked to the grid and supported by reactive power. This can be accomplished by implementing the low voltage ride through (LVRT) with a proportional integral (PI) controller. As a result...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Hindawi Publishing Corporation
2022
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45433/ |
| _version_ | 1848827417209077760 |
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| author | N., Jaalam A.Z., Ahmad A.M.A., Khalid R., Abdullah N., M.Saad S., A.Ghani L. N., Muhammad |
| author_facet | N., Jaalam A.Z., Ahmad A.M.A., Khalid R., Abdullah N., M.Saad S., A.Ghani L. N., Muhammad |
| author_sort | N., Jaalam |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | In today's world, the DG should not be disconnected in the event of a power outage but should instead remain linked to the grid and supported by reactive power. This can be accomplished by implementing the low voltage ride through (LVRT) with a proportional integral (PI) controller. As a result, the voltage profile can be enhanced. The PI controller, on the other hand, has drawbacks in that setting the gain takes a long time and results in an overshoot current on the grid, which could trigger the protection relay. To address this issue, this paper proposes employing a grey-wolf optimizer (GWO) to enhance the LVRT in a 5 MW three-phase grid-connected PV system. A MATLAB simulation was carried out then under a three-phase fault and load disturbance to verify the efficiency. It is found that, even with a 70% voltage sag, the PV system can remain connected to the electrical grid while minimising overshoot current on the grid side. |
| first_indexed | 2025-11-15T04:00:23Z |
| format | Article |
| id | ump-45433 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T04:00:23Z |
| publishDate | 2022 |
| publisher | Hindawi Publishing Corporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-454332025-08-20T04:00:39Z https://umpir.ump.edu.my/id/eprint/45433/ Low voltage ride through enhancement using grey wolf optimizer to reduce overshoot current in the grid-connected PV system N., Jaalam A.Z., Ahmad A.M.A., Khalid R., Abdullah N., M.Saad S., A.Ghani L. N., Muhammad QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering In today's world, the DG should not be disconnected in the event of a power outage but should instead remain linked to the grid and supported by reactive power. This can be accomplished by implementing the low voltage ride through (LVRT) with a proportional integral (PI) controller. As a result, the voltage profile can be enhanced. The PI controller, on the other hand, has drawbacks in that setting the gain takes a long time and results in an overshoot current on the grid, which could trigger the protection relay. To address this issue, this paper proposes employing a grey-wolf optimizer (GWO) to enhance the LVRT in a 5 MW three-phase grid-connected PV system. A MATLAB simulation was carried out then under a three-phase fault and load disturbance to verify the efficiency. It is found that, even with a 70% voltage sag, the PV system can remain connected to the electrical grid while minimising overshoot current on the grid side. Hindawi Publishing Corporation 2022-05 Article PeerReviewed pdf en cc_by_4 https://umpir.ump.edu.my/id/eprint/45433/1/Low%20voltage%20ride%20through%20enhancement%20using%20grey%20wolf%20optimizer.pdf N., Jaalam and A.Z., Ahmad and A.M.A., Khalid and R., Abdullah and N., M.Saad and S., A.Ghani and L. N., Muhammad (2022) Low voltage ride through enhancement using grey wolf optimizer to reduce overshoot current in the grid-connected PV system. Mathematical Problems in Engineering, 2022 (3917775). pp. 1-12. ISSN 1024-123X (print); 1563-5147 (online). (Published) https://doi.org/10.1155/2022/3917775 https://doi.org/10.1155/2022/3917775 https://doi.org/10.1155/2022/3917775 |
| spellingShingle | QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering N., Jaalam A.Z., Ahmad A.M.A., Khalid R., Abdullah N., M.Saad S., A.Ghani L. N., Muhammad Low voltage ride through enhancement using grey wolf optimizer to reduce overshoot current in the grid-connected PV system |
| title | Low voltage ride through enhancement using grey wolf optimizer to reduce overshoot current in the grid-connected PV system |
| title_full | Low voltage ride through enhancement using grey wolf optimizer to reduce overshoot current in the grid-connected PV system |
| title_fullStr | Low voltage ride through enhancement using grey wolf optimizer to reduce overshoot current in the grid-connected PV system |
| title_full_unstemmed | Low voltage ride through enhancement using grey wolf optimizer to reduce overshoot current in the grid-connected PV system |
| title_short | Low voltage ride through enhancement using grey wolf optimizer to reduce overshoot current in the grid-connected PV system |
| title_sort | low voltage ride through enhancement using grey wolf optimizer to reduce overshoot current in the grid-connected pv system |
| topic | QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering |
| url | https://umpir.ump.edu.my/id/eprint/45433/ https://umpir.ump.edu.my/id/eprint/45433/ https://umpir.ump.edu.my/id/eprint/45433/ |