Experimental validation of novel hybrid Grey Wolf Equilibrium Optimization for MPPT to improve the efficiency of solar photovoltaic system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F25%3A10256897" target="_blank" >RIV/61989100:27730/25:10256897 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2590123024020747" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2590123024020747</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.rineng.2024.103831" target="_blank" >10.1016/j.rineng.2024.103831</a>
Alternative languages
Result language
angličtina
Original language name
Experimental validation of novel hybrid Grey Wolf Equilibrium Optimization for MPPT to improve the efficiency of solar photovoltaic system
Original language description
This paper introduces a novel strategy for tracking the Maximum Power Point (MPP) using Grey Wolf Equilibrium Optimizer (GWEO) algorithm, which integrates a search mechanism of Grey Wolf Optimizer (GWO) and Equilibrium Optimizer (EO). This combination enhances both the search capabilities and convergence speed of the algorithm. The proposed GWEO algorithm's effectiveness is evaluated under diverse and challenging conditions, including Standard Test Conditions (STCs) and Partial Shading Conditions (PSCs), to assess its ability to conduct global and local searches efficiently. Performance tests were carried out for STC scenario and four PSC scenarios, with the results compared against four well-established MPPT algorithms: Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), GWO, and Flower Pollination Algorithm (FPA). The GWEO method demonstrated its superiority by achieving an average tracking time of 0.9s with 99.96% efficiency under STCs and 0.975s with 99.95% efficiency under PSCs. The algorithm's efficiency and reliability were further validated through an experimental setup involving a DSPACE board and a PV emulator, particularly under complex PSCs. These results highlight the potential of GWEO in improving the efficiency and sustainability of PV systems in practical energy applications.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Results in Engineering
ISSN
2590-1230
e-ISSN
2590-1230
Volume of the periodical
25
Issue of the periodical within the volume
March 2025
Country of publishing house
US - UNITED STATES
Number of pages
19
Pages from-to
1-19
UT code for WoS article
001410203000001
EID of the result in the Scopus database
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