Economic dispatch solution using moth-flame optimization algorithm

Mohd Herwan, Sulaiman and Zuriani, Mustaffa and Muhammad Ikram, Mohd Rashid and Hamdan, Daniyal (2018) Economic dispatch solution using moth-flame optimization algorithm. In: MATEC Web of Conferences, 2nd International Conference on Information Processing and Control Engineering (ICIPCE 2018), 27-29 July 2018 , Shanghai, China. pp. 1-6., 214 (03007). ISSN 2261-236X

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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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Economic dispatch; Moth-Flame optimization; Nature inspired algorithms
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 07 Dec 2018 07:45
Last Modified: 24 Feb 2021 02:42
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