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Journal of Artificial Intelligence and Soft Computing Research

The Journal of Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology

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Cuckoo Search Algorithm for Optimal Placement and Sizing of Static Var Compensator in Large-Scale Power Systems

Khai Phuc Nguyen / Goro Fujita / Vo Ngoc Dieu
  • Division of Power system Engineering, Ho Chi Minh University of Technology, Ho Chi Minh City, Vietnam
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2016-03-10 | DOI: https://doi.org/10.1515/jaiscr-2016-0006


This paper presents an application of Cuckoo search algorithm to determine optimal location and sizing of Static VAR Compensator. Cuckoo search algorithm is a modern heuristic technique basing Cuckoo species’ parasitic strategy. The Lévy flight has been employed to generate random Cuckoo eggs. Moreover, the objective function is a multiobjective problem, which minimizes loss power, voltage deviation and investment cost of Static VAR Compensator while satisfying other operating constraints in power system. Cuckoo search algorithm is evaluated on three case studies and compared with the Teaching-learning-based optimization, Particle Swarm optimization and Improved Harmony search algorithm. The results show that Cuckoo search algorithm is better than other optimization techniques and its performance is also better.

Keywords: Cuckoo search algorithm; optimal placement and sizing; shunt VAR compensator; optimal power flow; FACTS


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About the article

Published Online: 2016-03-10

Published in Print: 2016-04-01

Citation Information: Journal of Artificial Intelligence and Soft Computing Research, Volume 6, Issue 2, Pages 59–68, ISSN (Online) 2083-2567, DOI: https://doi.org/10.1515/jaiscr-2016-0006.

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© 2016. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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