Solving the optimal reactive power dispatch problem based on moth-flame optimizer for power system operation and planning

Zuriani, Mustaffa and Mohd Herwan, Sulaiman and Muhammad Ikram, Mohd Rashid and Rebecca Ng, Shin Mei and Nidzamuddeen, Ishak and Hamdan, Daniyal (2018) Solving the optimal reactive power dispatch problem based on moth-flame optimizer for power system operation and planning. In: 19th IEEE/ACIS International Conference On Software Engineering, Artificial Intelligence,Networking And Parallel/Distributed Computing (SNPD 2018) , 27 - 29 June 2018 , Busan, Korea. pp. 1-6.. ISBN 978-153865889-5

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Abstract

The power system is a complex network which is expected to operate with consumption of minimal resources giving the maximum security and reliability. The optimal power flow (OPF) problem is an important tool to help the operator to achieve these goals by providing the optimal setting of all control variables. Due to its significant influence on security and economic operation of power systems, one of the OPF problems namely optimal reactive power dispatch (ORPD), has received an ever-increasing interest from electric utilities. This paper proposes a recent nature inspired algorithm called moth-flame optimizer (MFO) to solve the ORPD problem. MFO is utilized to find the best combination of control variables such as the real power generation to be generated, generator voltages, tap changing transformers’ ratios and the size of reactive power compensation devices so that the total minimum loss in the network can be obtained. The effectiveness of MFO is tested on IEEE-30 bus system with 25 control variables and the comparison with other recent algorithms such as grey wolf optimizer (GWO), ant-lion optimizer (ALO) and multi-verse optimizer (MVO) also will be presented in this paper.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Index by Scopus
Uncontrolled Keywords:	Moth-flame optimizer; Optimal reactive power dispatch; Optimization
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:	Pn. Hazlinda Abd Rahman
Date Deposited:	15 Nov 2018 08:36
Last Modified:	30 Oct 2019 03:38
URI:	http://umpir.ump.edu.my/id/eprint/22087
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