UMP Institutional Repository

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

Rebecca Ng, Shin Mei and Mohd Herwan, Sulaiman and Zuriani, Mustaffa and Hamdan, Daniyal (2017) Optimal Reactive Power Dispatch Solution by Loss Minimization Using Moth-Flame Optimization Technique. Applied Soft Computing, 59. pp. 210-222. ISSN 1568-4946

[img]
Preview
PDF
fkee-2017-hamdan- Optimal Reactive Power Dispatch Solution1.pdf

Download (77kB) | Preview

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Moth-flame optimization algorithm; Nature-inspired heuristic technique; Optimal reactive power dispatch; Loss minimization; Voltage deviation minimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Electrical & Electronic Engineering
Institute of Postgraduate Studies
Depositing User: Mr Mohamad Dzulazlan Azha
Date Deposited: 23 Aug 2017 06:42
Last Modified: 30 Oct 2019 03:38
URI: http://umpir.ump.edu.my/id/eprint/18412
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item