Optimal sizing of a standalone photovoltaic system for remote housing electrification using numerical algorithm and improved system models

Ibrahim Anwar Ibrahim, Tamer Khatib, Azah Mohamed

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

This paper presents a size optimization method of the energy sources in a standalone photovoltaic system. The proposed technique implies improved photovoltaic array model, dynamic battery model, and accurate objective function as well as a fast simulation algorithm. The loss of load probability (LLP) is used to define the availability of the system. Different system's configurations with different availability levels are generated using the proposed algorithm. These configurations are evaluated based on system availability and cost. Hourly meteorological and load demand data are utilized in this research. A design example is done to show the application of the proposed method considering the weather profile of Malaysia. The result shows that the optimal sizing ratio of the photovoltaic array (CA) is 1.184, while the sizing ratio for storage battery (CB) is 0.613. In addition, the levelized cost of energy (LCE) for the unit generated of energy by the proposed system is 0.447 $/kWh.

Original languageEnglish
Pages (from-to)392-403
Number of pages12
JournalEnergy
Volume126
DOIs
Publication statusPublished - 1 May 2017

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Availability
Loss of load probability
Costs
Dynamic models

Keywords

  • LLP
  • Optimal sizing
  • Random forests
  • Standalone PV system
  • TLCC

ASJC Scopus subject areas

  • Pollution
  • Energy(all)

Cite this

Optimal sizing of a standalone photovoltaic system for remote housing electrification using numerical algorithm and improved system models. / Ibrahim, Ibrahim Anwar; Khatib, Tamer; Mohamed, Azah.

In: Energy, Vol. 126, 01.05.2017, p. 392-403.

Research output: Contribution to journalArticle

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