Economic Dispatch Solution Using Moth-Flame Optimization Algorithm

Economic Dispatch Solution Using Moth-Flame Optimization Algorithm

This paper proposes an application of a recent nature inspired optimization technique namely Moth-Flame Optimization (MFO) algorithm in solving the Economic Dispatch (ED) problem. In this paper, the practical constraints will be included in determining the minimum cost of power generation such as ra...

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Main Authors: Sulaiman Mohd Herwan, Mustaffa Zuriani, Rashid Muhammad Ikram Mohd, Daniyal Hamdan
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201821403007
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spelling doaj-06f6ee283fe943709379c27f4b01e3772021-02-02T05:40:46ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012140300710.1051/matecconf/201821403007matecconf_icipce2018_03007Economic Dispatch Solution Using Moth-Flame Optimization AlgorithmSulaiman Mohd Herwan0Mustaffa Zuriani1Rashid Muhammad Ikram Mohd2Daniyal Hamdan3Faculty of Electrical & Electronics Engineering, Universiti Malaysia PahangFaculty of Computer Systems and Software Engineering, Universiti Malaysia PahangFaculty of Electrical & Electronics Engineering, Universiti Malaysia PahangFaculty of Electrical & Electronics Engineering, Universiti Malaysia PahangThis paper proposes an application of a recent nature inspired optimization technique namely Moth-Flame Optimization (MFO) algorithm in solving the Economic Dispatch (ED) problem. In this paper, the practical constraints will be included in determining the minimum cost of power generation such as ramp rate limits, prohibited operating zones and generators operating limits. To show the effectiveness of proposed algorithm, two case systems are used: 6-units and 15-units systems and then the performance of MFO is compared with other techniques from literature. The results show that MFO is able to obtain less total cost than those other algorithms.https://doi.org/10.1051/matecconf/201821403007
collection DOAJ
language English
format Article
sources DOAJ
author Sulaiman Mohd Herwan
Mustaffa Zuriani
Rashid Muhammad Ikram Mohd
Daniyal Hamdan
spellingShingle Sulaiman Mohd Herwan
Mustaffa Zuriani
Rashid Muhammad Ikram Mohd
Daniyal Hamdan
Economic Dispatch Solution Using Moth-Flame Optimization Algorithm
MATEC Web of Conferences
author_facet Sulaiman Mohd Herwan
Mustaffa Zuriani
Rashid Muhammad Ikram Mohd
Daniyal Hamdan
author_sort Sulaiman Mohd Herwan
title Economic Dispatch Solution Using Moth-Flame Optimization Algorithm
title_short Economic Dispatch Solution Using Moth-Flame Optimization Algorithm
title_full Economic Dispatch Solution Using Moth-Flame Optimization Algorithm
title_fullStr Economic Dispatch Solution Using Moth-Flame Optimization Algorithm
title_full_unstemmed Economic Dispatch Solution Using Moth-Flame Optimization Algorithm
title_sort economic dispatch solution using moth-flame optimization algorithm
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description This paper proposes an application of a recent nature inspired optimization technique namely Moth-Flame Optimization (MFO) algorithm in solving the Economic Dispatch (ED) problem. In this paper, the practical constraints will be included in determining the minimum cost of power generation such as ramp rate limits, prohibited operating zones and generators operating limits. To show the effectiveness of proposed algorithm, two case systems are used: 6-units and 15-units systems and then the performance of MFO is compared with other techniques from literature. The results show that MFO is able to obtain less total cost than those other algorithms.
url https://doi.org/10.1051/matecconf/201821403007
work_keys_str_mv AT sulaimanmohdherwan economicdispatchsolutionusingmothflameoptimizationalgorithm
AT mustaffazuriani economicdispatchsolutionusingmothflameoptimizationalgorithm
AT rashidmuhammadikrammohd economicdispatchsolutionusingmothflameoptimizationalgorithm
AT daniyalhamdan economicdispatchsolutionusingmothflameoptimizationalgorithm
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