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Ant colony optimization technique in optimal capacitor placement and sizing problem in unbalanced electrical distribution system


Citation

Yahya, Mohd Ainor and Othman, Muhammad Murtadha and Abdul Razak, Muhd Azri and Zakaria, Zilaila and Musirin, Ismail and Kari, Mat Nasir and Osman, Mohd Fazli and Abu Hassan, Mohd Zaini and Mohd Dzin, Siti Habsah and Azrae, Baihaki and Wan Ismail, Wan Shazli and Salleh, Mohd Hisham and Jafar, Shaharani and Othman, Mohammad Lutfi (2015) Ant colony optimization technique in optimal capacitor placement and sizing problem in unbalanced electrical distribution system. Applied Mechanics and Materials, 785. pp. 78-82. ISSN 1660-9336; ESSN: 1662-7482

Abstract

The optimal capacitor placement problem involves determination on the type, number, location and size of capacitors to be placed in a distribution system for the attainment of energy efficiency. The main objectives of the capacitors placement and sizing are to reduce total line loss and energy consumption while satisfying the operational constraints. This paper presents the optimal capacitor placement and sizing problems solved by using the Ant Colony Optimization (ACO) technique with the integrated of circuitry unbalanced electrical distribution modeled in SIMULINK® MATLAB® software. The proposed technique was tested on a modified IEEE 13-bus unbalanced radial distribution system and the results revealed that the proposed technique has the merit in achieving optimal solution for addressing the problems.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.4028/www.scientific.net/AMM.785.78
Publisher: Trans Tech Publications
Keywords: Ant colony optimization; Optimal capacitors placement; Power loss index; Sizing; Unbalanced electrical distribution system
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 20 Sep 2016 09:09
Last Modified: 20 Sep 2016 09:09
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.4028/www.scientific.net/AMM.785.78
URI: http://psasir.upm.edu.my/id/eprint/43778
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