Optimal allocation of renewable-based DG resources in rural areas using genetic algorithms

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAsia-Pacific Power and Energy Engineering Conference, APPEEC
DOIs
Publication statusPublished - 2012
Event2012 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2012 - Shanghai, China
Duration: Mar 27 2012Mar 29 2012

Other

Other2012 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2012
CountryChina
CityShanghai
Period3/27/123/29/12

Fingerprint

Genetic algorithms

Keywords

  • Distributed Generation
  • Genetic Algorithms
  • Loss minimization

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

Cite this

Albadi, M. H., Al-Hinai, A. S., Al-Abri, N. N., Al-Busafi, Y. H., & Al-Sadairi, R. S. (2012). Optimal allocation of renewable-based DG resources in rural areas using genetic algorithms. In Asia-Pacific Power and Energy Engineering Conference, APPEEC [6307161] https://doi.org/10.1109/APPEEC.2012.6307161

Optimal allocation of renewable-based DG resources in rural areas using genetic algorithms. / Albadi, M. H.; Al-Hinai, A. S.; Al-Abri, N. N.; Al-Busafi, Y. H.; Al-Sadairi, R. S.

Asia-Pacific Power and Energy Engineering Conference, APPEEC. 2012. 6307161.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Albadi, MH, Al-Hinai, AS, Al-Abri, NN, Al-Busafi, YH & Al-Sadairi, RS 2012, Optimal allocation of renewable-based DG resources in rural areas using genetic algorithms. in Asia-Pacific Power and Energy Engineering Conference, APPEEC., 6307161, 2012 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2012, Shanghai, China, 3/27/12. https://doi.org/10.1109/APPEEC.2012.6307161
Albadi MH, Al-Hinai AS, Al-Abri NN, Al-Busafi YH, Al-Sadairi RS. Optimal allocation of renewable-based DG resources in rural areas using genetic algorithms. In Asia-Pacific Power and Energy Engineering Conference, APPEEC. 2012. 6307161 https://doi.org/10.1109/APPEEC.2012.6307161
Albadi, M. H. ; Al-Hinai, A. S. ; Al-Abri, N. N. ; Al-Busafi, Y. H. ; Al-Sadairi, R. S. / Optimal allocation of renewable-based DG resources in rural areas using genetic algorithms. Asia-Pacific Power and Energy Engineering Conference, APPEEC. 2012.
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