Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)

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Control Design of HESS (Hybridization Energy Storage System) Based on Fuzzy Logic Control

Authors
Andika Widiarso1, *, Azmi Saleh1, Triwahju Hardianto1
1University of Jember, Jember, Indonesia
*Corresponding author.
Corresponding Author
Andika Widiarso
Available Online 29 June 2024.
DOI
10.2991/978-94-6463-445-7_2How to use a DOI?
Keywords
Energy management; HESS; fuzzy logic control
Abstract

Renewable energy-based electricity generation may fluctuates frequently, resulting in unmet demand. Energy storage can be used to solve such problem though each kind of energy storage have their own weaknesses hence hybridization of more than one type energy storage system (ESS) was created. Hybridization of ESS require energy management strategy in order to function properly and effectively. In this work, a fuzzy logic energy management strategy is proposed to control the charging and discharging of a hybrid energy storage system consisting of battery and super capacitor that occur to accommodate varying power demand placed on ESS by the connected DC microgrid. This strategy works by factoring the power produced by photo voltaic, the state of charge of both battery and super capacitor. This strategy is tested by using simulation of MATLAB/SIMULINK and the results show that the strategy works as intended to.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)
Series
Advances in Intelligent Systems Research
Publication Date
29 June 2024
ISBN
978-94-6463-445-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-445-7_2How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Andika Widiarso
AU  - Azmi Saleh
AU  - Triwahju Hardianto
PY  - 2024
DA  - 2024/06/29
TI  - Control Design of HESS (Hybridization Energy Storage System) Based on Fuzzy Logic Control
BT  - Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)
PB  - Atlantis Press
SP  - 4
EP  - 13
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-445-7_2
DO  - 10.2991/978-94-6463-445-7_2
ID  - Widiarso2024
ER  -