Algorithms to Model and Optimize a Stand-Alone Photovoltaic-Diesel-Battery System: An Application in Rural Libya
| Autor: | Muhammet Tahir Guneser, Abdurazaq Elbaz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Battery system
photovoltaic-diesel-battery system Computer science Photovoltaic system annual system cost bat algorithm grey wolf optimization algorithm particle swarm optimization algorithm General Engineering Engineering (General). Civil engineering (General) Automotive engineering Diesel fuel TA1-2040 Bat algorithm |
| Zdroj: | Tehnički Vjesnik, Vol 28, Iss 2, Pp 523-529 (2021) Tehnički vjesnik Volume 28 Issue 2 |
| ISSN: | 1848-6339 1330-3651 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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