Optimal allocation of solar PV systems in rural areas using genetic algorithms

A case study

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper presents a case study about the optimal allocation of a solar photovoltaic (PV) system in a rural area network using genetic algorithms. After developing a power flow model based on the available network data, the system performance is studied in terms of power losses for different scenarios. Using loss minimisation as an objective function, the optimal location and size of the solar PV system can be found. In addition, fuel saving, loss reduction and environmental benefits of the proposed solar PV system size at the optimal location are quantified. The results show that the optimal location of the planned 100 kW solar PV system will reduce power losses by 5.7%. Furthermore, at a 30% penetration level, the optimal location of the solar PV system will reduce the losses by 13.4%.

Original languageEnglish
Pages (from-to)301-306
Number of pages6
JournalInternational Journal of Sustainable Engineering
Volume6
Issue number4
DOIs
Publication statusPublished - Dec 2013

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Genetic algorithms

Keywords

  • distributed generation
  • genetic algorithms
  • loss minimisation
  • photovoltaic system

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Optimal allocation of solar PV systems in rural areas using genetic algorithms : A case study. / Albadi, M. H.; Al-Hinai, A. S.; Al-Abri, N. N.; Al-Busafi, Y. H.; Al-Sadairi, R. S.

In: International Journal of Sustainable Engineering, Vol. 6, No. 4, 12.2013, p. 301-306.

Research output: Contribution to journalArticle

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