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Battery Energy Management System Using Edge-Driven Fuzzy Logic

  • Building energy management systems (BEMSs), dedicated to sustainable buildings, may have additional duties, such as hosting efficient energy management systems (EMSs) algorithms. This duty can become crucial when operating renewable energy sources (RES) and eventual electric energy storage systems (ESSs). Sophisticated EMS approaches that aim to manage RES and ESSs in real time may need highBuilding energy management systems (BEMSs), dedicated to sustainable buildings, may have additional duties, such as hosting efficient energy management systems (EMSs) algorithms. This duty can become crucial when operating renewable energy sources (RES) and eventual electric energy storage systems (ESSs). Sophisticated EMS approaches that aim to manage RES and ESSs in real time may need high computing capabilities that BEMSs typically cannot provide. This article addresses and validates a fuzzy logic-based EMS for the optimal management of photovoltaic (PV) systems with lead-acid ESSs using an edge computing technology. The proposed method is tested on a real smart grid prototype in comparison with a classical rule-based EMS for different weather conditions. The goal is to investigate the efficacy of islanding the building local network as a control command, along with ESS power control. The results show the implementation feasibility and performance of the fuzzy algorithm in the optimal management of ESSs in both operation modes: grid-connected and islanded modes.show moreshow less

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Metadaten
Document Type:Article (reviewed)
Zitierlink: https://opus.hs-offenburg.de/7230
Bibliografische Angaben
Title (English):Battery Energy Management System Using Edge-Driven Fuzzy Logic
Author:Mustapha HabibStaff MemberORCiD, Elmar BollinStaff MemberGND, Qian Wang
Year of Publication:2023
Date of first Publication:2023/04/19
Publisher:MDPI
First Page:1
Last Page:18
Article Number:3539
Parent Title (English):Energies
Editor:Katarina Rogulj, Jelena Kilić Pamuković
Volume:16
Issue:8
ISSN:1996-1073
DOI:https://doi.org/10.3390/en16083539
URN:https://urn:nbn:de:bsz:ofb1-opus4-72304
Language:English
Inhaltliche Informationen
Institutes:Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Institutes:Bibliografie
Tag:edge computing; electric battery; energy management system; fuzzy logic; photovoltaic
Formale Angaben
Relevance:Wiss. Zeitschriftenartikel reviewed: Listung in Master Journal List
Open Access: Open Access 
 Gold 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International