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

3 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

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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