Optimal placement and sizing of Static Var Compensator using Cuckoo search algorithm

Khai Phuc Nguyen; Goro Fujita; Vo Ngoc Dieu

doi:10.1109/CEC.2015.7256901

Optimal placement and sizing of Static Var Compensator using Cuckoo search algorithm

Khai Phuc Nguyen, Goro Fujita, Vo Ngoc Dieu

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

4 Citations (Scopus)

Abstract

This paper presents an application of Cuckoo search algorithm to determine location and sizing of Static Var Compensator (SVC). The objective of this problem is to reconfigure the electric power system by installing SVC devices. The objective function considers loss power, voltage deviation and operational cost of SVC and other operating constraints in power system. Cuckoo search algorithm is evaluated on two case studies and compared with the Teaching-learning-based optimization method. The results show that Cuckoo search algorithm is better than the Teaching-learning-based optimization and its performance is also better.

Original language	English
Title of host publication	2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	267-274
Number of pages	8
ISBN (Print)	9781479974924
DOIs	https://doi.org/10.1109/CEC.2015.7256901
Publication status	Published - 2015 Sep 10
Event	IEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan Duration: 2015 May 25 → 2015 May 28

Other

Other	IEEE Congress on Evolutionary Computation, CEC 2015
Country/Territory	Japan
City	Sendai
Period	15/5/25 → 15/5/28

Keywords

Cuckoo Search Algorithm
optimal placement and sizing
Static Var Compensator
Teaching-learning-based optimization

ASJC Scopus subject areas

Computer Science Applications
Computational Mathematics

Access to Document

10.1109/CEC.2015.7256901

Cite this

Optimal placement and sizing of Static Var Compensator using Cuckoo search algorithm. / Nguyen, Khai Phuc; Fujita, Goro; Ngoc Dieu, Vo.

2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 267-274 7256901.

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

Nguyen, KP, Fujita, G & Ngoc Dieu, V 2015, Optimal placement and sizing of Static Var Compensator using Cuckoo search algorithm. in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings., 7256901, Institute of Electrical and Electronics Engineers Inc., pp. 267-274, IEEE Congress on Evolutionary Computation, CEC 2015, Sendai, Japan, 15/5/25. https://doi.org/10.1109/CEC.2015.7256901

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title = "Optimal placement and sizing of Static Var Compensator using Cuckoo search algorithm",

abstract = "This paper presents an application of Cuckoo search algorithm to determine location and sizing of Static Var Compensator (SVC). The objective of this problem is to reconfigure the electric power system by installing SVC devices. The objective function considers loss power, voltage deviation and operational cost of SVC and other operating constraints in power system. Cuckoo search algorithm is evaluated on two case studies and compared with the Teaching-learning-based optimization method. The results show that Cuckoo search algorithm is better than the Teaching-learning-based optimization and its performance is also better.",

keywords = "Cuckoo Search Algorithm, optimal placement and sizing, Static Var Compensator, Teaching-learning-based optimization",

author = "Nguyen, {Khai Phuc} and Goro Fujita and {Ngoc Dieu}, Vo",

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booktitle = "2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings",

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N2 - This paper presents an application of Cuckoo search algorithm to determine location and sizing of Static Var Compensator (SVC). The objective of this problem is to reconfigure the electric power system by installing SVC devices. The objective function considers loss power, voltage deviation and operational cost of SVC and other operating constraints in power system. Cuckoo search algorithm is evaluated on two case studies and compared with the Teaching-learning-based optimization method. The results show that Cuckoo search algorithm is better than the Teaching-learning-based optimization and its performance is also better.

AB - This paper presents an application of Cuckoo search algorithm to determine location and sizing of Static Var Compensator (SVC). The objective of this problem is to reconfigure the electric power system by installing SVC devices. The objective function considers loss power, voltage deviation and operational cost of SVC and other operating constraints in power system. Cuckoo search algorithm is evaluated on two case studies and compared with the Teaching-learning-based optimization method. The results show that Cuckoo search algorithm is better than the Teaching-learning-based optimization and its performance is also better.

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KW - Teaching-learning-based optimization

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Optimal placement and sizing of Static Var Compensator using Cuckoo search algorithm

Abstract

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Keywords

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