Optimal Location of STATCOM in Nigerian 330kv Network Using Ant Colony Optimization Meta-Heuristic

Aribi Fughar

Optimal Location of STATCOM in Nigerian 330kv Network Using Ant Colony Optimization Meta-Heuristic

Aribi Fughar * §

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Federal University of Technology, Minna-Nigeria.

Optimal Location of STATCOM in Nigerian 330kv Network Using Ant Colony Optimization Meta-Heuristic

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Abstract

This paper introduces the ant colony meta-heuristic technique to optimally locate STATCOM in 330kV Nigerian Network. The Ant Colony Optimization (ACO) algorithms used the STATCOM parameters and probabilistic model to generate solutions to the problem of siting STATCOM in Nigerian network. The optimal location of STATCOM in Nigerian network is evidenced in bus voltage profile enhancement and minimization of transmission losses. The probabilistic model is called pheromone model which consists of a set of model parameters, often referred to as pheromone values. At run-time, the ACO algorithms try to update the pheromone values from previously generated solutions in such a way that the probability to generate high quality solutions increases over time. Finally, the graph of pheromone trail and path treaded by the ants along the various nodes are captured whose codes are validated using the Matrix Laboratory Software (MATLAB) environment.

References

10 Cites in Article

Reference Format

Marco Dorigo,Eric Bonabeau,Guy Theraulaz (2000). Ant algorithms and stigmergy.
A. Hernandez,M.A. Rodriguez,E. Torres,P. Eguia (2013). A Review and Comparison of FACTS Optimal Placement for Solving Transmission System Issues.
Afiqah Abu Hasan Asari,Norzehan Sakamat,Mohd Mohd Fathir,Nurulhuda Noordin,Anitawati Mohd Lokman (2008). User Requirements and Quality Assessment on Shoe Size and Fit Recommendation.
M Kowsalya,K Ray,D Kothari (2009). Positioning of SVC and STATCOM in a Long Transmission Line.
Mohd Rozely,Kalil,Ismail Musirin,Muhammad Othman (2006). Ant Colony Based Optimization Technique for Voltage Stability Control.
M Nwohu (2009). Voltage Stability Enhancement of the Nigerian grid system using Flexible Alternating Current Transmission System (FACTS) devices.
M Nwohu (2010). Optimal Location of Unified Power Flow Controller (UPFC) in Nigerian Grid System using Modified Sensitivity Analysis.
C Orihie (2004). Problems inherent in the present NEPA grid system.
S Bouri,A Zeblah,A Ghoraf,S Hadjeri,H Hamdaoui (2005). Ant Colony Optimization to Shunt Capacitor Allocation in Radial Distribution Systems.
M Nwohu (2011). Effects of Static Synchronous Compensator (STATCOM) on Voltage Stability and Transmission Losses of Electric Power Systems.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Aribi Fughar. 2014. "Optimal Location of STATCOM in Nigerian 330kv Network Using Ant Colony Optimization Meta-Heuristic". Global Journal of Research in Engineering, Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 14 (GJRE Volume 14 Issue F3).

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GJRE Volume 14 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

330kv nigerian network ant colony optimization (ACO)FACTS devices & MATLAB STATCOM

Classification

GJRE-F Classification FOR Code: 090699

Submission ReceivedDecember 8, 2013
Peer Review Double Blind
Handling Editor
Accepted January 4, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

June 2, 2014

Language

English

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Article Matrices

Total Score: 103

Country: Nigeria

Subject: Global Journal of Research in Engineering

Authors: Aribi Fughar, Nwohu, M. N. (PhD/Dr. count: 0)

View Count (all-time): 313

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Publish Date: 2014 01, Wed

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Total Views: 2K

Total Downloads: 109

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