Performance Evaluation of Fuzzy Logic-Based Energy Management Systems in Microgrids with Electric Vehicle Integration

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10259446" target="_blank" >RIV/61989100:27240/25:10259446 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27730/25:10259446

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-98565-2_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-98565-2_3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-98565-2_3" target="_blank" >10.1007/978-3-031-98565-2_3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Performance Evaluation of Fuzzy Logic-Based Energy Management Systems in Microgrids with Electric Vehicle Integration

Popis výsledku v původním jazyce

Efficient energy management in microgrids is critical for ensuring stability and sustainability, especially with the integration of Electric Vehicles (EVs). Fuzzy Logic (FL) has emerged as a powerful method for managing uncertainties in renewable energy generation, load demand, and EV behavior. This study introduces a Fuzzy Logic-Based Energy Management System (FL-EMS) designed to optimize energy flow, balance supply and demand, and minimize operational costs in EV-integrated microgrids. The proposed FL-EMS employs a Fuzzy Logic Controller (FLC) that processes key input variables, including renewable energy generation, load demand, grid electricity prices, and EV State of Charge (SOC). A comprehensive set of fuzzy rules is developed to dynamically manage power flow between distributed energy resources, energy storage systems, EVs, and the main grid. Simulation studies conducted under diverse scenarios highlight the system&apos;s efficiency and adaptability. The results demonstrate that the FL-based FL-EMS significantly reduces grid dependency, improves microgrid reliability, and optimally schedules EV charging and discharging to enhance grid stability. Its ability to process imprecise data and adapt to rapidly changing conditions makes it a practical choice for real-time energy management. The decentralized nature of the FL approach ensures scalability, enabling its application in diverse microgrid configurations, from residential systems to industrial networks. This study highlights Fuzzy Logic as a reliable and scalable solution for energy management, facilitating seamless EV integration and paving the way for resilient, adaptive, and sustainable energy systems.

Název v anglickém jazyce

Performance Evaluation of Fuzzy Logic-Based Energy Management Systems in Microgrids with Electric Vehicle Integration

Popis výsledku anglicky

Efficient energy management in microgrids is critical for ensuring stability and sustainability, especially with the integration of Electric Vehicles (EVs). Fuzzy Logic (FL) has emerged as a powerful method for managing uncertainties in renewable energy generation, load demand, and EV behavior. This study introduces a Fuzzy Logic-Based Energy Management System (FL-EMS) designed to optimize energy flow, balance supply and demand, and minimize operational costs in EV-integrated microgrids. The proposed FL-EMS employs a Fuzzy Logic Controller (FLC) that processes key input variables, including renewable energy generation, load demand, grid electricity prices, and EV State of Charge (SOC). A comprehensive set of fuzzy rules is developed to dynamically manage power flow between distributed energy resources, energy storage systems, EVs, and the main grid. Simulation studies conducted under diverse scenarios highlight the system&apos;s efficiency and adaptability. The results demonstrate that the FL-based FL-EMS significantly reduces grid dependency, improves microgrid reliability, and optimally schedules EV charging and discharging to enhance grid stability. Its ability to process imprecise data and adapt to rapidly changing conditions makes it a practical choice for real-time energy management. The decentralized nature of the FL approach ensures scalability, enabling its application in diverse microgrid configurations, from residential systems to industrial networks. This study highlights Fuzzy Logic as a reliable and scalable solution for energy management, facilitating seamless EV integration and paving the way for resilient, adaptive, and sustainable energy systems.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

INTELLIGENT AND FUZZY SYSTEMS, INFUS 2025, VOL 3

ISBN

978-3-031-98564-5

ISSN

2367-3370

e-ISSN

2367-3389

Počet stran výsledku

10

Strana od-do

20-29

Název nakladatele

SPRINGER INTERNATIONAL PUBLISHING AG

Místo vydání

CHAM

Místo konání akce

Istanbul

Datum konání akce

29. 7. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001587122800003