LAPSE:2023.30432
Published Article
LAPSE:2023.30432
Experts versus Algorithms? Optimized Fuzzy Logic Energy Management of Autonomous PV Hybrid Systems with Battery and H2 Storage
April 14, 2023
Off-grid applications based on intermittent solar power benefit greatly from hybrid energy storage systems consisting of a battery short-term and a hydrogen long-term storage path. An intelligent energy management is required to balance short-, intermediate- and long-term fluctuations in electricity demand and supply, while maximizing system efficiency and minimizing component stress. An energy management was developed that combines the benefits of an expert-knowledge based fuzzy logic approach with a metaheuristic particle swarm optimization. Unlike in most existing work, interpretability of the optimized fuzzy logic controller is maintained, allowing the expert to evaluate and adjust it if deemed necessary. The energy management was tested with 65 1-year household load datasets. It was shown that the expert tuned controller is more robust to changes in load pattern then the optimized controller. However, simple readjustments restore robustness, while largely retaining the benefits achieved through optimization. Nevertheless, it was demonstrated that there is no one-size-fits-all tuning. Especially, large power peaks on the demand-side require overly conservative tunings. This is not desirable in situations where such peaks can be avoided through other means.
Record ID
Keywords
autonomous PV hybrid system, energy management, fuzzy logic control, hybrid energy storage, Particle Swarm Optimization
Subject
Suggested Citation
Gerlach L, Bocklisch T. Experts versus Algorithms? Optimized Fuzzy Logic Energy Management of Autonomous PV Hybrid Systems with Battery and H2 Storage. (2023). LAPSE:2023.30432
Author Affiliations
Gerlach L: Chair of Energy Storage Systems, Technische Universität Dresden, Helmholtzstraße 9, 01069 Dresden, Germany
Bocklisch T: Chair of Energy Storage Systems, Technische Universität Dresden, Helmholtzstraße 9, 01069 Dresden, Germany
Bocklisch T: Chair of Energy Storage Systems, Technische Universität Dresden, Helmholtzstraße 9, 01069 Dresden, Germany
Journal Name
Energies
Volume
14
Issue
6
First Page
1777
Year
2021
Publication Date
2021-03-23
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14061777, Publication Type: Journal Article
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Published Article
LAPSE:2023.30432
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doi:10.3390/en14061777
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[v1] (Original Submission)
Apr 14, 2023
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Apr 14, 2023
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