Experimental validation of novel hybrid Grey Wolf Equilibrium Optimization for MPPT to improve the efficiency of solar photovoltaic system
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Experimental validation of novel hybrid Grey Wolf Equilibrium Optimization for MPPT to improve the efficiency of solar photovoltaic system
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Experimental validation of novel hybrid Grey Wolf Equilibrium Optimization for MPPT to improve the efficiency of solar photovoltaic system
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20200 - Electrical engineering, Electronic engineering, Information engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/TN02000025" target="_blank" >TN02000025: Národní centrum pro energetiku II</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Results in Engineering
ISSN
2590-1230
e-ISSN
2590-1230
Svazek periodika
25
Číslo periodika v rámci svazku
March 2025
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
19
Strana od-do
1-19
Kód UT WoS článku
001410203000001
EID výsledku v databázi Scopus
—