Optimal Allocation of Renewable-Based DG Resources in Rural Areas Using Genetic Algorithms

Author

Albadi, M.H. ; Al-Hinai, A.S. ; Al-Abri, N.N. ; Al-Busafi, Y.H. ; Al-Sadairi, R.S.

Author_Institution

Dept. of Electr. & Comput. Eng., Sultan Qaboos Univ., Muscat, Oman

fYear

2012

fDate

27-29 March 2012

Firstpage

1

Lastpage

4

Abstract

This paper presents a case study about the optimal allocation of renewable-based DG resources in rural areas using genetic algorithms. After building the power flow model based on the available data, the system performance in terms of power losses are studied for different scenarios. Based on loss minimization as an objective function, the optimal location and size of DG is found. In addition, the fuel saving, loss reduction and environmental benefits of the proposed DG size at the optimum location are quantified.

Keywords

distributed power generation; environmental factors; genetic algorithms; load flow; renewable energy sources; distributed generation; environmental benefits; fuel saving; genetic algorithms; loss minimization; objective function; optimal allocation; optimal location; power flow model; power losses; renewable-based DG resources; rural areas; Companies; Electricity; Fuels; Genetic algorithms; Load flow; Sociology; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific

Conference_Location

Shanghai

ISSN

2157-4839

Print_ISBN

978-1-4577-0545-8

Type

conf

DOI

10.1109/APPEEC.2012.6307161

Filename

6307161