Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading
In designing System Protection Schemes (SPSs) in a power system, protecting transmission lines against severe undesired conditions becomes a serious effort in minimizing line overloading. In this paper, a Special Protection and Control Scheme (SPCS) based on Differential Evolution (DE) algorithm for...
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| Format: | Book Section |
| Language: | English |
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Springer-Verlag GmbH
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/63078/ http://psasir.upm.edu.my/id/eprint/63078/1/Differential%20Evolution%20Based%20Special%20Protection%20and%20Control%20Scheme%20for%20Contingency%20Monitoring%20of%20Transmission%20Line%20Overloading.pdf |
| _version_ | 1848854716782477312 |
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| author | Othman, Mohammad Lutfi Hadi, Mahmood Khalid Abdul Wahab, Noor Izzri |
| author_facet | Othman, Mohammad Lutfi Hadi, Mahmood Khalid Abdul Wahab, Noor Izzri |
| author_sort | Othman, Mohammad Lutfi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In designing System Protection Schemes (SPSs) in a power system, protecting transmission lines against severe undesired conditions becomes a serious effort in minimizing line overloading. In this paper, a Special Protection and Control Scheme (SPCS) based on Differential Evolution (DE) algorithm for optimal generation rescheduling to mitigate line overloads in contingency conditions has been presented. Simulation results for various N − 1 contingency conditions within the considered power system under base case load are proposed and validated with those results from the Genetic Algorithm (GA). Minimum severity index has been undertaken as the objective function of this research work. The final results prove that the DE based algorithm gives better than GA in terms of the speed of convergence and minimum generation fuel cost. IEEE 30-bus test system was used to verify the effectiveness of the implemented methods. |
| first_indexed | 2025-11-15T11:14:18Z |
| format | Book Section |
| id | upm-63078 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:14:18Z |
| publishDate | 2017 |
| publisher | Springer-Verlag GmbH |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-630782020-03-17T08:35:42Z http://psasir.upm.edu.my/id/eprint/63078/ Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading Othman, Mohammad Lutfi Hadi, Mahmood Khalid Abdul Wahab, Noor Izzri In designing System Protection Schemes (SPSs) in a power system, protecting transmission lines against severe undesired conditions becomes a serious effort in minimizing line overloading. In this paper, a Special Protection and Control Scheme (SPCS) based on Differential Evolution (DE) algorithm for optimal generation rescheduling to mitigate line overloads in contingency conditions has been presented. Simulation results for various N − 1 contingency conditions within the considered power system under base case load are proposed and validated with those results from the Genetic Algorithm (GA). Minimum severity index has been undertaken as the objective function of this research work. The final results prove that the DE based algorithm gives better than GA in terms of the speed of convergence and minimum generation fuel cost. IEEE 30-bus test system was used to verify the effectiveness of the implemented methods. Springer-Verlag GmbH 2017 Book Section PeerReviewed text en http://psasir.upm.edu.my/id/eprint/63078/1/Differential%20Evolution%20Based%20Special%20Protection%20and%20Control%20Scheme%20for%20Contingency%20Monitoring%20of%20Transmission%20Line%20Overloading.pdf Othman, Mohammad Lutfi and Hadi, Mahmood Khalid and Abdul Wahab, Noor Izzri (2017) Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading. In: Lecture Notes on Data Engineering and Communications Technologies: Recent Trends in Information and Communication Technology (Proceedings of the 2nd International Conference of Reliable Information and Communication Technology (IRICT 2017)). Springer-Verlag GmbH, GERMANY, 475 - 487. ISBN 9783319594279 http://www.springer.com/in/book/9783319594262#aboutBook |
| spellingShingle | Othman, Mohammad Lutfi Hadi, Mahmood Khalid Abdul Wahab, Noor Izzri Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading |
| title | Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading |
| title_full | Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading |
| title_fullStr | Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading |
| title_full_unstemmed | Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading |
| title_short | Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading |
| title_sort | differential evolution based special protection and control scheme for contingency monitoring of transmission line overloading |
| url | http://psasir.upm.edu.my/id/eprint/63078/ http://psasir.upm.edu.my/id/eprint/63078/ http://psasir.upm.edu.my/id/eprint/63078/1/Differential%20Evolution%20Based%20Special%20Protection%20and%20Control%20Scheme%20for%20Contingency%20Monitoring%20of%20Transmission%20Line%20Overloading.pdf |