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Optimal power flow solutions for power system operations using moth-flame optimization algorithm

Alabd, Salman and Mohd Herwan, Sulaiman and Muhammad Ikram, Mohd Rashid (2020) Optimal power flow solutions for power system operations using moth-flame optimization algorithm. In: 11th National Technical Seminar on Unmanned System Technology 2019 (NUSYS’19), 2 - 3 December 2019 , UMP Gambang, Pahang. pp. 207-219., 666. ISSN 978-981-15-5280-9 ISBN 978-981-15-5281-6

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Abstract

This article proposes a recent novel metaheuristic optimization technique: Moth-Flame Optimizer (MFO) to solve one of the most important problems in the power system namely Optimal power flow (OPF). Three objective functions will be solved simultaneously: minimizing fuel cost, transmission loss, and voltage deviation minimization using a weighted factor. To show the effectiveness of proposed MFO in solving the mentioned problem, the IEEE 30-bus test system will be used. Then the obtained result from the MFO algorithm is compared with other selected well-known algorithms. The comparison proves that MFO gives better results compared to the other compared algorithms. MFO gives a reduction of 14.50% compared to 13.38 and 14.15% for artificial bee colony (ABC) and Improved Grey Wolf Optimizer (IGWO) respectively

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Optimal power flow; MFO; economic dispatch; optimal reactive power
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Ms. Ratna Wilis Haryati Mustapa
Date Deposited: 15 Jul 2021 01:40
Last Modified: 27 Jul 2021 03:20
URI: http://umpir.ump.edu.my/id/eprint/31645
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