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

Research output: Contribution to journalArticle

  • 5 Citations

Abstract

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 multi objective 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.

LanguageEnglish
Pages59-68
Number of pages10
JournalJournal of Artificial Intelligence and Soft Computing Research
Volume6
Issue number2
DOIs
StatePublished - 2016

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Particle swarm optimization (PSO)
Teaching
Static Var compensators
Electric potential
Costs

Keywords

  • Cuckoo search algorithm
  • FACTS
  • Optimal placement and sizing
  • Optimal power flow
  • Shunt VAR compensator

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems
  • Modelling and Simulation

Cite this

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