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 proceedingConference 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 languageEnglish
Title of host publication2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages267-274
Number of pages8
ISBN (Print)9781479974924
DOIs
Publication statusPublished - 2015 Sep 10
EventIEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan
Duration: 2015 May 252015 May 28

Other

OtherIEEE Congress on Evolutionary Computation, CEC 2015
CountryJapan
CitySendai
Period15/5/2515/5/28

Keywords

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

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Mathematics

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    Nguyen, K. P., 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 (pp. 267-274). [7256901] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2015.7256901