Optimal Reactive Power Dispatch Solution by Loss Minimization Using Moth-Flame Optimization Technique

In this paper, a newly surfaced nature-inspired optimization technique called moth-flame optimization(MFO) algorithm is utilized to address the optimal reactive power dispatch (ORPD) problem. MFO algo-rithm is inspired by the natural navigation technique of moths when they travel at night, where the...

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Bibliographic Details
Main Authors: Rebecca Ng, Shin Mei, Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Hamdan, Daniyal
Format: Article
Language:English
Published: Elsevier 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/18412/
http://umpir.ump.edu.my/id/eprint/18412/
http://umpir.ump.edu.my/id/eprint/18412/
http://umpir.ump.edu.my/id/eprint/18412/1/fkee-2017-hamdan-%20Optimal%20Reactive%20Power%20Dispatch%20Solution1.pdf
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Summary:In this paper, a newly surfaced nature-inspired optimization technique called moth-flame optimization(MFO) algorithm is utilized to address the optimal reactive power dispatch (ORPD) problem. MFO algo-rithm is inspired by the natural navigation technique of moths when they travel at night, where they usevisible light sources as guidance. In this paper, MFO is realized in ORPD problem to investigate the bestcombination of control variables including generators voltage, transformers tap setting as well as reactivecompensators sizing to achieve minimum total power loss and minimum voltage deviation. Furthermore,the effectiveness of MFO algorithm is compared with other identified optimization techniques on threecase studies, namely IEEE 30-bus system, IEEE 57-bus system and IEEE 118-bus system. The statisticalanalysis of this research illustrated that MFO is able to produce competitive results by yielding lowerpower loss and lower voltage deviation than the selected techniques from literature.