Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch

Rebecca Ng, Shin Mei and Mohd Herwan, Sulaiman and Zuriani, Mustaffa and Hamdan, Daniyal (2016) Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016) , 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 107-114..

P017 pg107-114.pdf

Download (227kB) | Preview


This paper presents the application of recent nature inspired computing techniques namely gray wolf optimizer (GWO) and ant lion optimizer (ALO) in solving optimal reactive power dispatch (ORPD) problem. GWO and ALO are utilized to minimize the transmission losses by finding the best combination of control variables such as generator voltages, transformer tap ratios as well as reactive compensation devices. In this paper, IEEE 30-bus system is utilized to show these techniques in solving ORPD. The comparison between the effectiveness of GWO and ALO are made and reported in this paper. The results show that GWO is able to gain a better result in solving ORPD than ALO.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: ant lion optimizer, gray wolf optimizer, loss minimization, nature inspired computing techniques, optimal reactive power dispatch
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Institute of Postgraduate Studies
Depositing User: Rosfadilla Mohamad Zainun
Date Deposited: 21 Dec 2016 03:09
Last Modified: 30 Oct 2019 03:39
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item