Optimal placement and sizing of SVC by using various meta-heuristic optimization methods

Khai Phuc Nguyen; Goro Fujita; Nguyen Duc Tuyen; Vo Ngoc Dieu; Toshihisa Funabashi

doi:10.1109/ICPERE.2014.7067226

Optimal placement and sizing of SVC by using various meta-heuristic optimization methods

Khai Phuc Nguyen, Goro Fujita, Nguyen Duc Tuyen, Vo Ngoc Dieu, Toshihisa Funabashi

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

5 Citations (Scopus)

Abstract

This paper presents comparison of three kinds of meta-heuristic optimization to determine location and sizing of Static Var Compensator (SVC). The optimization methods are Particle Swarm Organization (PSO), Improved Harmony Search (IHS) and Cuckoo Search Algorithm (CSA). The multi-objective function of this problem considers loss power, voltage deviation and operational cost of SVC. All of methods are tested on three types of IEEE power systems, such as 9-bus case, 30-bus case and 57-bus case. Results show that the CSA does not only gives better solution than others do, but it also has better performance, while the IHS is more effective than the version of PSO.

Original language	English
Title of host publication	Proceedings - ICPERE 2014
Subtitle of host publication	2nd IEEE Conference on Power Engineering and Renewable Energy 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7-12
Number of pages	6
ISBN (Electronic)	9781479964024
DOIs	https://doi.org/10.1109/ICPERE.2014.7067226
Publication status	Published - 2014 Mar 24
Event	2nd IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2014 - Bali, Indonesia Duration: 2014 Dec 9 → 2014 Dec 11

Publication series

Name	Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014

Other

Other	2nd IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2014
Country/Territory	Indonesia
City	Bali
Period	14/12/9 → 14/12/11

Keywords

Cuckoo Search Algorithm
Improved Harmony Search
Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients
Static Var Compensator

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/ICPERE.2014.7067226

Cite this

Nguyen, K. P., Fujita, G., Tuyen, N. D., Dieu, V. N., & Funabashi, T. (2014). Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. In Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014 (pp. 7-12). [7067226] (Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPERE.2014.7067226

Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. / Nguyen, Khai Phuc; Fujita, Goro; Tuyen, Nguyen Duc et al.
Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 7-12 7067226 (Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014).

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

Nguyen, KP, Fujita, G, Tuyen, ND, Dieu, VN & Funabashi, T 2014, Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. in Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014., 7067226, Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014, Institute of Electrical and Electronics Engineers Inc., pp. 7-12, 2nd IEEE Conference on Power Engineering and Renewable Energy, ICPERE 2014, Bali, Indonesia, 14/12/9. https://doi.org/10.1109/ICPERE.2014.7067226

Nguyen KP, Fujita G, Tuyen ND, Dieu VN, Funabashi T. Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. In Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 7-12. 7067226. (Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014). doi: 10.1109/ICPERE.2014.7067226

Nguyen, Khai Phuc ; Fujita, Goro ; Tuyen, Nguyen Duc et al. / Optimal placement and sizing of SVC by using various meta-heuristic optimization methods. Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 7-12 (Proceedings - ICPERE 2014: 2nd IEEE Conference on Power Engineering and Renewable Energy 2014).

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abstract = "This paper presents comparison of three kinds of meta-heuristic optimization to determine location and sizing of Static Var Compensator (SVC). The optimization methods are Particle Swarm Organization (PSO), Improved Harmony Search (IHS) and Cuckoo Search Algorithm (CSA). The multi-objective function of this problem considers loss power, voltage deviation and operational cost of SVC. All of methods are tested on three types of IEEE power systems, such as 9-bus case, 30-bus case and 57-bus case. Results show that the CSA does not only gives better solution than others do, but it also has better performance, while the IHS is more effective than the version of PSO.",

keywords = "Cuckoo Search Algorithm, Improved Harmony Search, Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients, Static Var Compensator",

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N2 - This paper presents comparison of three kinds of meta-heuristic optimization to determine location and sizing of Static Var Compensator (SVC). The optimization methods are Particle Swarm Organization (PSO), Improved Harmony Search (IHS) and Cuckoo Search Algorithm (CSA). The multi-objective function of this problem considers loss power, voltage deviation and operational cost of SVC. All of methods are tested on three types of IEEE power systems, such as 9-bus case, 30-bus case and 57-bus case. Results show that the CSA does not only gives better solution than others do, but it also has better performance, while the IHS is more effective than the version of PSO.

AB - This paper presents comparison of three kinds of meta-heuristic optimization to determine location and sizing of Static Var Compensator (SVC). The optimization methods are Particle Swarm Organization (PSO), Improved Harmony Search (IHS) and Cuckoo Search Algorithm (CSA). The multi-objective function of this problem considers loss power, voltage deviation and operational cost of SVC. All of methods are tested on three types of IEEE power systems, such as 9-bus case, 30-bus case and 57-bus case. Results show that the CSA does not only gives better solution than others do, but it also has better performance, while the IHS is more effective than the version of PSO.

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Optimal placement and sizing of SVC by using various meta-heuristic optimization methods

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Keywords

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