Comparative analysis of metaheuristic algorithms for extracting electrical parameters of PV modules
View/Open
artículo principal (918,0Kb) (Restricted access)
Request copy
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Cita com:
hdl:2117/400828
Document typeConference report
Defense date2023
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial
property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public
communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
This paper presents a comparison of various metaheuristic algorithms used for extracting electrical parameters from specific photovoltaic (PV) panels. The focus lies on assessing and comparing the efficiency of eight chosen algorithms in precisely deriving electrical parameters from PV modules, selected for their novelty and widespread use. The ODM mathematical model was utilized due to its exceptional precision and simplicity to accomplish this aim. Next, a series of simulations were executed to establish the optimal electrical parameters with the best root mean square (RMS) values for each algorithm. The resulting dataset from these simulations was then analysed and compared to draw the final conclusions. The primary goal of this comparative analysis is to obtain valuable knowledge about the abilities of various new metaheuristic algorithms in determining the electrical parameters of photovoltaic modules.
CitationYettou, T. [et al.]. Comparative analysis of metaheuristic algorithms for extracting electrical parameters of PV modules. A: International Conference on Electrotechnics. "Sixth International Conference on Electrotechnics: ICEL'23: Oran, Algeria: November 14-15, 2023: proceedings". 2023, p. 1-7.
Publisher versionhttps://www.univ-usto.dz/en/icel2023/
Collections
Files | Description | Size | Format | View |
---|---|---|---|---|
TariqYettoupaper2.pdf![]() | artículo principal | 918,0Kb | Restricted access |