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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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Main Authors: Othman, Mohammad Lutfi, Hadi, Mahmood Khalid, Abdul Wahab, Noor Izzri
Format: Book Section
Language:English
Published: Springer-Verlag GmbH 2017
Online Access: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
http://psasir.upm.edu.my/id/eprint/63078/
http://www.springer.com/in/book/9783319594262#aboutBook
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spelling my.upm.eprints.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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.
format Book Section
author Othman, Mohammad Lutfi
Hadi, Mahmood Khalid
Abdul Wahab, Noor Izzri
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
author_facet Othman, Mohammad Lutfi
Hadi, Mahmood Khalid
Abdul Wahab, Noor Izzri
author_sort Othman, Mohammad Lutfi
title 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_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_sort differential evolution based special protection and control scheme for contingency monitoring of transmission line overloading
publisher Springer-Verlag GmbH
publishDate 2017
url 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
http://psasir.upm.edu.my/id/eprint/63078/
http://www.springer.com/in/book/9783319594262#aboutBook
_version_ 1662756460325502976
score 13.211869

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