Developed cluster of SVC installation in power system network via hybrid meta-heuristic method

S. A. Jumaat, I. Musirin, M. M. Othman, H. Mokhlis, Nur Azzammudin Rahmat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper introduces a new approach of meta-heuristic based method for clustering the optimal location of SVC installation in power system. The algorithm is based on evolutionary particle swarm optimization (EPSO) technique with the objective to minimize the transmission loss in power system. With the formation of cluster decision can be made by power system operators to perform power compensation scheme considering selected loading conditions and loaded buses. Experiments were performed on the IEEE 30-bus RTS to realize the effectiveness of the proposed method. Comparison with respect to conventional PSO was conducted which eventually resulted superiority in terms of loss minimization.

Original languageEnglish
Title of host publication2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013
PublisherIEEE Computer Society
ISBN (Print)9781479923038
DOIs
Publication statusPublished - 01 Jan 2013
Event2013 2nd IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013 - Amman, Jordan
Duration: 03 Dec 201305 Dec 2013

Publication series

Name2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013

Other

Other2013 2nd IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013
CountryJordan
CityAmman
Period03/12/1305/12/13

Fingerprint

Heuristic methods
Particle swarm optimization (PSO)
Experiments
Compensation and Redress

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Jumaat, S. A., Musirin, I., Othman, M. M., Mokhlis, H., & Rahmat, N. A. (2013). Developed cluster of SVC installation in power system network via hybrid meta-heuristic method. In 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013 [6716457] (2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013). IEEE Computer Society. https://doi.org/10.1109/AEECT.2013.6716457
Jumaat, S. A. ; Musirin, I. ; Othman, M. M. ; Mokhlis, H. ; Rahmat, Nur Azzammudin. / Developed cluster of SVC installation in power system network via hybrid meta-heuristic method. 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013. IEEE Computer Society, 2013. (2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013).
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abstract = "This paper introduces a new approach of meta-heuristic based method for clustering the optimal location of SVC installation in power system. The algorithm is based on evolutionary particle swarm optimization (EPSO) technique with the objective to minimize the transmission loss in power system. With the formation of cluster decision can be made by power system operators to perform power compensation scheme considering selected loading conditions and loaded buses. Experiments were performed on the IEEE 30-bus RTS to realize the effectiveness of the proposed method. Comparison with respect to conventional PSO was conducted which eventually resulted superiority in terms of loss minimization.",
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Jumaat, SA, Musirin, I, Othman, MM, Mokhlis, H & Rahmat, NA 2013, Developed cluster of SVC installation in power system network via hybrid meta-heuristic method. in 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013., 6716457, 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013, IEEE Computer Society, 2013 2nd IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013, Amman, Jordan, 03/12/13. https://doi.org/10.1109/AEECT.2013.6716457

Developed cluster of SVC installation in power system network via hybrid meta-heuristic method. / Jumaat, S. A.; Musirin, I.; Othman, M. M.; Mokhlis, H.; Rahmat, Nur Azzammudin.

2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013. IEEE Computer Society, 2013. 6716457 (2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - This paper introduces a new approach of meta-heuristic based method for clustering the optimal location of SVC installation in power system. The algorithm is based on evolutionary particle swarm optimization (EPSO) technique with the objective to minimize the transmission loss in power system. With the formation of cluster decision can be made by power system operators to perform power compensation scheme considering selected loading conditions and loaded buses. Experiments were performed on the IEEE 30-bus RTS to realize the effectiveness of the proposed method. Comparison with respect to conventional PSO was conducted which eventually resulted superiority in terms of loss minimization.

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Jumaat SA, Musirin I, Othman MM, Mokhlis H, Rahmat NA. Developed cluster of SVC installation in power system network via hybrid meta-heuristic method. In 2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013. IEEE Computer Society. 2013. 6716457. (2013 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2013). https://doi.org/10.1109/AEECT.2013.6716457