General Information
    • ISSN: 1793-821X
    • Frequency: Quarterly (2013-2014); Bimonthly (Since 2015)
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
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JOCET 2016 Vol.4(6): 444-447 ISSN: 1793-821X
DOI: 10.18178/JOCET.2016.4.6.329

A Novel Optimization Algorithm for Reliable Energy Generation based on Wind, Solar and Fuel Cell

Tara Khayyamim, Khosrow Hajsadeghi and Abolghasem Zabihollah
Abstract—Concerns about fuel cost, pollution and global warming has made it necessary to look for new energy solutions. Renewable energies are environmentally friendly, not cheap at the beginning but naturally available at a constant rate and wide spread, unlike fossil fuels that are localized in limited places. To generate environmentally friendly power we consider two renewable energy resources: wind and photovoltaic, and a clean alternative energy (AE): fuel cells. In order to have a reliable and cost efficient power generating system, an optimization algorithm based on genetic algorithm is proposed. The proposed system has been tested for different scenarios and has been proven to be a reliable power generating system for various situations.

Index Terms—Genetic algorithm, hybrid energy systems, renewable power generation.

Tara Khayyamim is with Department of Electrical Engineering, Sharif University of Technology, Iran (email: tarakhayyam@gmail.com).
Khosrow Hajsadeghi is with Department of Electrical Engineering, Sharif University of Technology, Iran (email: ksadeghi@ee.sharif.edu).
Abolghasem Zabihollah is with Dean of School of Science and Engineering, Sharif University of Technology, Kish Island, Iran (email: zabihollah@sharif.edu).

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Cite:Tara Khayyamim, Khosrow Hajsadeghi and Abolghasem Zabihollah, "A Novel Optimization Algorithm for Reliable Energy Generation based on Wind, Solar and Fuel Cell," Journal of Clean Energy Technologies vol. 4, no. 6, pp. 444-447, 2016.

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