Technical gazette, Vol. 28 No. 2, 2021.
Original scientific paper
https://doi.org/10.17559/TV-20200530094834
Algorithms to Model and Optimize a Stand-Alone Photovoltaic-Diesel-Battery System: An Application in Rural Libya
Abdurazaq Elbaz*
orcid.org/0000-0002-2358-7807
; Karabuk University, Engineering Faculty, Electrical and Electronics Department, Karabuk, 78100, Turkey
Muhammet Tahir Guneser
orcid.org/0000-0003-3502-2034
; Karabuk University, Engineering Faculty, Electrical and Electronics Department, Karabuk, 78100, Turkey
Abstract
This paper introduces a new optimum calculation technique for a stand-alone hybrid photovoltaic-diesel-battery system (PDBS), which meets the energy requirements of a small village in southern Libya. The bat algorithm design strategy is applied to reduce the annual cost of the system, taking into consideration the controlled electricity restriction and the optimal numbers of PV panels, diesel generators, and batteries. Comparative tests are performed using MATLAB for the bat algorithm with the grey wolf search algorithm and particle swarm optimization, demonstrating that the bat algorithm determines the optimum size of the PDBS effectively at a lower expense. Results then indicate that, taking into account the reliability characteristics, this has a significant effect on optimum capacity, load supply, and cost.
Keywords
annual system cost; bat algorithm; grey wolf optimization algorithm; particle swarm optimization algorithm; photovoltaic-diesel-battery system
Hrčak ID:
255822
URI
Publication date:
17.4.2021.
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