Energy management and power quality improvement of microgrid system through modified water wave optimization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F23%3A10252696" target="_blank" >RIV/61989100:27730/23:10252696 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/23:10252696

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2352484723008119" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352484723008119</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.egyr.2023.05.068" target="_blank" >10.1016/j.egyr.2023.05.068</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Energy management and power quality improvement of microgrid system through modified water wave optimization

Popis výsledku v původním jazyce

A comparative study of energy management strategies and PQ improvement schemes for a Fuel Cell, Battery, and SuperCapacitor integrated Microgrid system has been projected utilizing the MAT-LAB/Simulink architecture in this research article. For effective energy management and PQ en-hancement, a Modified Water Wave Optimization algorithm based on adaptive population size and adaptive wavelength coefficient has been proposed. The MWWO method robustly and dynamically tunes the parameters of the Proportional Integral controller for effective operation. The efficiency of the proposed technique has been compared with the traditional methods regarding hydrogen consumption, load power deliberation, power quality and overall system efficiency. The results obtained and the numerical analysis confers the superiority of the suggested technique over other methods for enhanced dynamic voltage response, low fuel consumption, reduced harmonics and better efficacy thereby proving its real-time employment.&amp; COPY; 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Název v anglickém jazyce

Energy management and power quality improvement of microgrid system through modified water wave optimization

Popis výsledku anglicky

A comparative study of energy management strategies and PQ improvement schemes for a Fuel Cell, Battery, and SuperCapacitor integrated Microgrid system has been projected utilizing the MAT-LAB/Simulink architecture in this research article. For effective energy management and PQ en-hancement, a Modified Water Wave Optimization algorithm based on adaptive population size and adaptive wavelength coefficient has been proposed. The MWWO method robustly and dynamically tunes the parameters of the Proportional Integral controller for effective operation. The efficiency of the proposed technique has been compared with the traditional methods regarding hydrogen consumption, load power deliberation, power quality and overall system efficiency. The results obtained and the numerical analysis confers the superiority of the suggested technique over other methods for enhanced dynamic voltage response, low fuel consumption, reduced harmonics and better efficacy thereby proving its real-time employment.&amp; COPY; 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Energy Reports

ISSN

2352-4847

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

22

Strana od-do

6020-6041

Kód UT WoS článku

001011948000001

EID výsledku v databázi Scopus

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