Genetic algorithm-based optimization of overcurrent relay Coordination for improved protection of DFIG operated wind farms
Rigorous protection of wind power plants is a critical aspect of the electrical power protection engineering. A proper protection scheme must be planned thoroughly while designing the wind plants to provide safeguarding for the power components in case of fault occurrence. One of the conventional pr...
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| Format: | Article |
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Institute of Electrical and Electronics Engineers
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/79980/ |
| _version_ | 1848858801021648896 |
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| author | Rezaei, Nima Uddin, Mohammad Nasir Amin, Ifte Khairul Othman, Mohammad Lutfi |
| author_facet | Rezaei, Nima Uddin, Mohammad Nasir Amin, Ifte Khairul Othman, Mohammad Lutfi |
| author_sort | Rezaei, Nima |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Rigorous protection of wind power plants is a critical aspect of the electrical power protection engineering. A proper protection scheme must be planned thoroughly while designing the wind plants to provide safeguarding for the power components in case of fault occurrence. One of the conventional protection apparatus is overcurrent relay (OCR), which is responsible for protecting power systems from impending faults. However, the operation time of OCRs is relatively long and accurate coordination between these relays is convoluted. Moreover, when a fault occurs in wind farm-based power system, several OCRs operate instead of a designated relay to that particular fault location, which could result in unnecessary power loss and disconnection of healthy feeders out of the plant. Therefore, this article proposes a novel genetic algorithm (GA)-based optimization technique for proper coordination of the OCRs in order to provide improved protection of the wind farms. The GA optimization technique has several advantages over other intelligent algorithms, such as high accuracy, fast response, and most importantly, it is capable of achieving optimal solutions considering nonlinear characteristics of OCRs. In this article, the improvement in protection of wind farm is achieved through optimizing the relay settings, reducing their operation time, time setting multiplier of each relay, improving the coordination between relays after implementation of IEC 60255-151:2009 standard. The developed algorithm is tested in simulation for a wind farm model under various fault conditions at random buses and the results are compared with the conventional nonlinear optimization method. It is found that the new approach achieves significant improvement in the operation of OCRs for the wind farm and drastically reduces the accumulative operation time of the relays. |
| first_indexed | 2025-11-15T12:19:13Z |
| format | Article |
| id | upm-79980 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T12:19:13Z |
| publishDate | 2019 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-799802023-04-14T03:35:26Z http://psasir.upm.edu.my/id/eprint/79980/ Genetic algorithm-based optimization of overcurrent relay Coordination for improved protection of DFIG operated wind farms Rezaei, Nima Uddin, Mohammad Nasir Amin, Ifte Khairul Othman, Mohammad Lutfi Rigorous protection of wind power plants is a critical aspect of the electrical power protection engineering. A proper protection scheme must be planned thoroughly while designing the wind plants to provide safeguarding for the power components in case of fault occurrence. One of the conventional protection apparatus is overcurrent relay (OCR), which is responsible for protecting power systems from impending faults. However, the operation time of OCRs is relatively long and accurate coordination between these relays is convoluted. Moreover, when a fault occurs in wind farm-based power system, several OCRs operate instead of a designated relay to that particular fault location, which could result in unnecessary power loss and disconnection of healthy feeders out of the plant. Therefore, this article proposes a novel genetic algorithm (GA)-based optimization technique for proper coordination of the OCRs in order to provide improved protection of the wind farms. The GA optimization technique has several advantages over other intelligent algorithms, such as high accuracy, fast response, and most importantly, it is capable of achieving optimal solutions considering nonlinear characteristics of OCRs. In this article, the improvement in protection of wind farm is achieved through optimizing the relay settings, reducing their operation time, time setting multiplier of each relay, improving the coordination between relays after implementation of IEC 60255-151:2009 standard. The developed algorithm is tested in simulation for a wind farm model under various fault conditions at random buses and the results are compared with the conventional nonlinear optimization method. It is found that the new approach achieves significant improvement in the operation of OCRs for the wind farm and drastically reduces the accumulative operation time of the relays. Institute of Electrical and Electronics Engineers 2019 Article PeerReviewed Rezaei, Nima and Uddin, Mohammad Nasir and Amin, Ifte Khairul and Othman, Mohammad Lutfi (2019) Genetic algorithm-based optimization of overcurrent relay Coordination for improved protection of DFIG operated wind farms. IEEE Transactions on Industry Applications, 55 (6). pp. 5727-5736. ISSN 0093-9994 https://ieeexplore.ieee.org/document/8823020 10.1109/TIA.2019.2939244 |
| spellingShingle | Rezaei, Nima Uddin, Mohammad Nasir Amin, Ifte Khairul Othman, Mohammad Lutfi Genetic algorithm-based optimization of overcurrent relay Coordination for improved protection of DFIG operated wind farms |
| title | Genetic algorithm-based optimization of overcurrent relay Coordination for improved protection of DFIG operated wind farms |
| title_full | Genetic algorithm-based optimization of overcurrent relay Coordination for improved protection of DFIG operated wind farms |
| title_fullStr | Genetic algorithm-based optimization of overcurrent relay Coordination for improved protection of DFIG operated wind farms |
| title_full_unstemmed | Genetic algorithm-based optimization of overcurrent relay Coordination for improved protection of DFIG operated wind farms |
| title_short | Genetic algorithm-based optimization of overcurrent relay Coordination for improved protection of DFIG operated wind farms |
| title_sort | genetic algorithm-based optimization of overcurrent relay coordination for improved protection of dfig operated wind farms |
| url | http://psasir.upm.edu.my/id/eprint/79980/ http://psasir.upm.edu.my/id/eprint/79980/ http://psasir.upm.edu.my/id/eprint/79980/ |