Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO)

Nori Elfahmi, Darwis and Nor Rul Hasma, Abdullah and Ibrahim Haruna, Shanono and Mahfuzah, Mustafa and Rosdiyana, Samad (2022) Allocation and sizing of Distributed Generation (DG) using Multi Verse Optimizer (MVO). In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 190-197., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published)

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Abstract

Minimizing power loss in a distribution system is considered one of the most challenging areas of study. Losses are more significant in the distribution rather than in the transmission system. The electrical infrastructure has created an opportunity for numerous engineering innovations, consisting of Distributed Generation (DG), to obtain optimal benefit. The parameters like the size as well as the most desired location has to be taken into consideration to minimize it. This article centres on identifying the optimum placement and sizing of DG to decrease the losses in the system using Multi-Verse Optimization (MVO) technique. The total power loss equation is considered the objective-function for the development technique and can reduce the total losses of the system. The effectiveness of the proposed method was validated on the standard IEEE 30-bus Reliability Test System (RTS).

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Distributed generation; Losses; Multi-verse optimization; Optimization
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	30 Sep 2024 04:43
Last Modified:	30 Sep 2024 04:43
URI:	http://umpir.ump.edu.my/id/eprint/42068
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