LAPSE:2023.34978
Published Article
LAPSE:2023.34978
Battery Energy Management System Using Edge-Driven Fuzzy Logic
Mustapha Habib, Elmar Bollin, Qian Wang
April 28, 2023
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 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.
Keywords
edge computing, electric battery, energy management system, fuzzy logic, photovoltaic
Suggested Citation
Habib M, Bollin E, Wang Q. Battery Energy Management System Using Edge-Driven Fuzzy Logic. (2023). LAPSE:2023.34978
Author Affiliations
Habib M: Division of Building Technology and Design, Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, 11428 Stockholm, Sweden [ORCID]
Bollin E: Institute of Energy System Technology, Offenburg University of Applied Sciences, 77652 Offenburg, Germany
Wang Q: Division of Building Technology and Design, Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, 11428 Stockholm, Sweden; Uponor AB, Hackstavägen 1, 72132 Västerås, Sweden
Journal Name
Energies
Volume
16
Issue
8
First Page
3539
Year
2023
Publication Date
2023-04-19
Published Version
ISSN
1996-1073
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Original Submission
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PII: en16083539, Publication Type: Journal Article
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LAPSE:2023.34978
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doi:10.3390/en16083539
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Apr 28, 2023
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CC BY 4.0
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