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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&apos;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&apos;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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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