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Optimization methods of distributed hybrid power systems with battery storage system: A systematic review

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F24%3A10484403" target="_blank" >RIV/00216208:11230/24:10484403 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=tOXT_bC0ME" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=tOXT_bC0ME</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.est.2024.112909" target="_blank" >10.1016/j.est.2024.112909</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Optimization methods of distributed hybrid power systems with battery storage system: A systematic review

  • Popis výsledku v původním jazyce

    The transition to sustainable energy matrices at a global level reinforces the importance of investments in hybrid energy systems with battery storage to promote low-carbon energy and sustainable development. Considering this scenario, the research focused on analyzing optimization methods with the main objective of mapping and reviewing the literature on hybrid energy projects with battery storage, focusing on wind and photovoltaic sources. The Systematic Literature Review followed PRISMA guidelines, bringing transparency to the sample selection process, ensuring a rigorous and comprehensive literature review, and increasing the reliability of the results. Descriptive, network, and content analyses were employed to identify gaps, key trends, and emerging research areas, aiding in understanding the current state of research and future directions. As a result, the final sample included 74 articles after removing duplicates and applying eligibility criteria. Analysis revealed increased interest in hybrid power systems with battery storage, identifying three keyword clusters focused on technical and economic aspects. The study mapped 54 optimization methods, categorized into five groups, highlighting the complexity and variety of optimization challenges. The conclusions indicated a significant increase in scientific production in the last five years, reflecting the urgency of alternatives to traditional energy sources and the diversity of optimization methods used to improve the viability of energy systems, indicating a promising trend towards more adaptive and intelligent approaches.

  • Název v anglickém jazyce

    Optimization methods of distributed hybrid power systems with battery storage system: A systematic review

  • Popis výsledku anglicky

    The transition to sustainable energy matrices at a global level reinforces the importance of investments in hybrid energy systems with battery storage to promote low-carbon energy and sustainable development. Considering this scenario, the research focused on analyzing optimization methods with the main objective of mapping and reviewing the literature on hybrid energy projects with battery storage, focusing on wind and photovoltaic sources. The Systematic Literature Review followed PRISMA guidelines, bringing transparency to the sample selection process, ensuring a rigorous and comprehensive literature review, and increasing the reliability of the results. Descriptive, network, and content analyses were employed to identify gaps, key trends, and emerging research areas, aiding in understanding the current state of research and future directions. As a result, the final sample included 74 articles after removing duplicates and applying eligibility criteria. Analysis revealed increased interest in hybrid power systems with battery storage, identifying three keyword clusters focused on technical and economic aspects. The study mapped 54 optimization methods, categorized into five groups, highlighting the complexity and variety of optimization challenges. The conclusions indicated a significant increase in scientific production in the last five years, reflecting the urgency of alternatives to traditional energy sources and the diversity of optimization methods used to improve the viability of energy systems, indicating a promising trend towards more adaptive and intelligent approaches.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    50201 - Economic Theory

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of Energy Storage

  • ISSN

    2352-152X

  • e-ISSN

    2352-1538

  • Svazek periodika

    97 B

  • Číslo periodika v rámci svazku

    September 2024

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    22

  • Strana od-do

    112909

  • Kód UT WoS článku

    001273613300001

  • EID výsledku v databázi Scopus

    2-s2.0-85198551405