Research Article

AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS

Volume: 37 Number: 3 September 1, 2020
  • Ali Abdalı
  • Kazem Mazlumı
  • Amir Bagherı

AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS

Abstract

Power system is getting complex due to a boost in the number of new power plants and the expansion of the transmission system in order to meet the growing for electricity. This scenario results in a large number of short circuits in the system, which may exceed the rating of existing circuit breakers (CBs) and may severely destroy system equipment. Installing fault current limiters (FCLs) into the power system is one of the most cost-effective ways to degrade fault current levels. This paper presents a method to specify the optimal numbers and locations for FCLs placement in terms of installing the smallest FCL parameters to restrain short-circuit currents below the interrupting currents of circuit breakers, to minimize transmission loss. Due to a lack of genetic, PSO and other optimization algorithms, an Elitist Gravitational Search Algorithm (EGSA) for more accurate and better results is used. This algorithm is employed to search for the location and parameter of FCLs to meet the specific requirements. The proposed method is applied to the IEEE 30-bus test system. Simulation results indicated the adequacy and precision of the proposed method.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Ali Abdalı This is me
Iran

Publication Date

September 1, 2020

Submission Date

August 24, 2018

Acceptance Date

January 10, 2019

Published in Issue

Year 2019 Volume: 37 Number: 3

APA
Abdalı, A., Mazlumı, K., & Bagherı, A. (2020). AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS. Sigma Journal of Engineering and Natural Sciences, 37(3), 691-704. https://izlik.org/JA79LK65ZJ
AMA
1.Abdalı A, Mazlumı K, Bagherı A. AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS. SIGMA. 2020;37(3):691-704. https://izlik.org/JA79LK65ZJ
Chicago
Abdalı, Ali, Kazem Mazlumı, and Amir Bagherı. 2020. “AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS”. Sigma Journal of Engineering and Natural Sciences 37 (3): 691-704. https://izlik.org/JA79LK65ZJ.
EndNote
Abdalı A, Mazlumı K, Bagherı A (September 1, 2020) AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS. Sigma Journal of Engineering and Natural Sciences 37 3 691–704.
IEEE
[1]A. Abdalı, K. Mazlumı, and A. Bagherı, “AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS”, SIGMA, vol. 37, no. 3, pp. 691–704, Sept. 2020, [Online]. Available: https://izlik.org/JA79LK65ZJ
ISNAD
Abdalı, Ali - Mazlumı, Kazem - Bagherı, Amir. “AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS”. Sigma Journal of Engineering and Natural Sciences 37/3 (September 1, 2020): 691-704. https://izlik.org/JA79LK65ZJ.
JAMA
1.Abdalı A, Mazlumı K, Bagherı A. AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS. SIGMA. 2020;37:691–704.
MLA
Abdalı, Ali, et al. “AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS”. Sigma Journal of Engineering and Natural Sciences, vol. 37, no. 3, Sept. 2020, pp. 691-04, https://izlik.org/JA79LK65ZJ.
Vancouver
1.Ali Abdalı, Kazem Mazlumı, Amir Bagherı. AN ELITIST GRAVITATIONAL SEARCH ALGORITHM BASED APPROACH FOR OPTIMAL PLACEMENT OF FAULT CURRENT LIMITERS IN POWER SYSTEMS. SIGMA [Internet]. 2020 Sep. 1;37(3):691-704. Available from: https://izlik.org/JA79LK65ZJ

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