Application of binary firefly algorithm for optimal power quality monitor positioning

Wong Ling Ai; Hussain Shareef; Azah Mohamed; Ahmad Asrul Ibrahim

doi:10.1109/PEOCO.2013.6564578

Application of binary firefly algorithm for optimal power quality monitor positioning

Wong Ling Ai, Hussain Shareef, Azah Mohamed, Ahmad Asrul Ibrahim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

This study suggests the utilization of binary firefly algorithm (BFA) in getting the optimal power quality monitor(PQM) position in the power system. A multi-objective function is used in the optimization procedure with the system observability constraint which is determined by the concept of topological monitor reach area. The multi-objective function is made up of three functions, which are the number of monitors needed, monitor coverage index and sag propagation index. The usefulness of the proposed method has been confirmed by applying the algorithm on the IEEE 118-bus transmission system. The results prove that BFA is suitable to use in PQM positioning problem.

Original language	English
Title of host publication	Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013
Pages	386-390
Number of pages	5
DOIs	https://doi.org/10.1109/PEOCO.2013.6564578
Publication status	Published - 2013
Externally published	Yes
Event	2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013 - Langkawi, Malaysia Duration: Jun 3 2013 → Jun 4 2013

Publication series

Name	Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013

Conference

Conference	2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013
Country/Territory	Malaysia
City	Langkawi
Period	6/3/13 → 6/4/13

ASJC Scopus subject areas

Energy Engineering and Power Technology
Fuel Technology

Access to Document

10.1109/PEOCO.2013.6564578

Cite this

Ling Ai, W., Shareef, H., Mohamed, A., & Ibrahim, A. A. (2013). Application of binary firefly algorithm for optimal power quality monitor positioning. In Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013 (pp. 386-390). Article 6564578 (Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013). https://doi.org/10.1109/PEOCO.2013.6564578

Application of binary firefly algorithm for optimal power quality monitor positioning. / Ling Ai, Wong; Shareef, Hussain; Mohamed, Azah et al.
Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013. 2013. p. 386-390 6564578 (Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ling Ai, W, Shareef, H, Mohamed, A & Ibrahim, AA 2013, Application of binary firefly algorithm for optimal power quality monitor positioning. in Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013., 6564578, Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013, pp. 386-390, 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013, Langkawi, Malaysia, 6/3/13. https://doi.org/10.1109/PEOCO.2013.6564578

Ling Ai W, Shareef H, Mohamed A, Ibrahim AA. Application of binary firefly algorithm for optimal power quality monitor positioning. In Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013. 2013. p. 386-390. 6564578. (Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013). doi: 10.1109/PEOCO.2013.6564578

Ling Ai, Wong ; Shareef, Hussain ; Mohamed, Azah et al. / Application of binary firefly algorithm for optimal power quality monitor positioning. Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013. 2013. pp. 386-390 (Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013).

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title = "Application of binary firefly algorithm for optimal power quality monitor positioning",

abstract = "This study suggests the utilization of binary firefly algorithm (BFA) in getting the optimal power quality monitor(PQM) position in the power system. A multi-objective function is used in the optimization procedure with the system observability constraint which is determined by the concept of topological monitor reach area. The multi-objective function is made up of three functions, which are the number of monitors needed, monitor coverage index and sag propagation index. The usefulness of the proposed method has been confirmed by applying the algorithm on the IEEE 118-bus transmission system. The results prove that BFA is suitable to use in PQM positioning problem.",

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Application of binary firefly algorithm for optimal power quality monitor positioning

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