An Iterative Algorithm for Sizing Stand-Alone Photovoltaic System

Article Preview

Abstract:

This paper presents a methodology for sizing Stand-Alone Photovoltaic (SAPV) system. An iterative-based sizing algorithm, known as ISA, was developed for determining the optimal PV module, battery, charge controller and inverter such that the expected Performance Ratio (PR) of the system could be maximized. The ISA basically evaluates all possible combinations of SAPV system components derived from the respective database of each component. Two sizing scenarios were evaluated based on the types of charge controller that has been used, i.e. the standard charge controller and maximum power point tracker (MPPT)-based charge controller. Results showed that the optimal sizing solution was discovered within 14 to 19 hours based on an evaluation of 46,080 possible combinations of components.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

601-605

Citation:

Online since:

August 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] I. Dincer, Renewable energy and sustainable development: a crucial review, Renewable and Sustainable Energy Reviews, vol. 4 (2000), pp.157-175.

DOI: 10.1016/s1364-0321(99)00011-8

Google Scholar

[2] J. L. Silveira, C. E. Tuna, and W. d. Q. Lamas, The need of subsidy for the implementation of photovoltaic solar energy as supporting of decentralized electrical power generation in Brazil, Renewable and Sustainable Energy Reviews, vol. 20 (2013).

DOI: 10.1016/j.rser.2012.11.054

Google Scholar

[3] S. I. Sulaiman, T. K. A. Rahman, I. Musirin, S. Shaari, and K. Sopian, An intelligent method for sizing optimization in grid-connected photovoltaic system, Solar energy, vol. 86 (2012), p.2067-(2082).

DOI: 10.1016/j.solener.2012.04.009

Google Scholar

[4] T. Khatib, A. Mohamed, K. Sopian, and M. Mahmoud, An iterative method for designing high reliable standalone PV systems at minimum cost for Malaysia, in Industrial Electronics and Applications (ISIEA), 2011 IEEE Symposium on (2011), pp.486-489.

DOI: 10.1109/isiea.2011.6108759

Google Scholar

[5] W. X. Shen, Optimally sizing of solar array and battery in a standalone photovoltaic system in Malaysia, Renewable Energy, vol. 34 (2009), pp.348-352.

DOI: 10.1016/j.renene.2008.03.015

Google Scholar

[6] T. Khatib, A. Mohamed, K. Sopian, and M. Mahmoud, A new approach for optimal sizing of standalone photovoltaic systems, International Journal of Photoenergy, vol. 2012, (2012).

DOI: 10.1155/2012/391213

Google Scholar

[7] J. Belhadj, Optimal sizing of a stand-alone photovoltaic system using statistical approach, International Journal of Renewable Energy Research (IJRER), vol. 4 (2014), pp.329-337.

Google Scholar

[8] A. M. O. Sulaiman Shaari, Ahmad Hadri Haris, Shahril Irwan Sulaiman, Solar Photovoltaic Power: Designing Stand-Alone System, 1 ed. Malaysia: Ministry of Energy, Green Technology and Water, (2010).

Google Scholar

[9] N.I. Abdul Aziz, S. I. Sulaiman, S. Shaari, and I. Musirin, New technique for sizing optimization of a stand-alone photovoltaic system, Journal of Theoretical & Applied Information Technology, vol. 67, (2014).

DOI: 10.4028/www.scientific.net/amm.785.601

Google Scholar