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General Information
ISSN:
2315-4462 (Print); 2373-3594 (Online)
Abbreviated Title:
Int. J Smart Grid Clean Energy
Frequency:
4 issues per year
Editor-in-Chief:
Prof. Danny Sutanto
DOI:
10.12720/sgce
Indexed by:
Inspec (IET),
CNKI
, Crossref, Google Scholar,
etc
.
Editor-in-Chief
Prof. Danny Sutanto
University of Wollongong, Australia
I am very excited to serve as the first Editor-in-Chief of the Journal of Smart Grid and Clean Energy (SGCE)and hope that the publication can enrich the readers’ experience .... [
Read More
]
What's New
2024-03-28
March 28th, 2024 News! Vol. 13, No. 1 has been published online!
2024-01-04
IJSGCE will adopt Article-by-Article Work Flow. For the quarterly journal, each issue will be released at the end of the issue month.
2023-10-09
October 9th, 2023 News! Vol. 11, No. 4 has been published online!
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2020
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Vol. 9, No. 1, January 2020
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Development of battery energy storage system model in MATLAB/Simulink
Author(s): Rodney H. G. Tan, Ganesh Kumar Tinakaran
UCSI University, No. 1, Jalan Menara Gading, Kuala Lumpur, 56000, Malaysia
International Journal of Smart Grid and Clean Energy
, vol. 9, no. 1, January 2020: pp. 180-188
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.9.1.180-188
Abstract
: The details development of the battery energy storage system (BESS) model in MATLAB/Simulink is presented in this paper. A proposed logical-numerical modeling approach is used to model the BESS which eliminates the need of first principle derive mathematic equation, complex circuitry, control algorithm implementation and lengthy computation time. The proposed modeling method greatly simplified the modeling effort through simple logic and mathematic function. The application of the proposed BESS model is demonstrated using real commercial building recorded load profile through three case study applications which are peak shaving, load shifting, and load leveling. The BESS model is capable to generate details graphical information including load profile, peak demand without and with BESS and battery state of charge status for performance analysis. The BESS implementation and case study performed in this paper is fully reproducible. The proposed BESS model is applicable from LV distribution scale in kWh up to MV utility scale MWh storage applications. The proposed BESS model contributes as an indispensable tool for BESS implementation sizing determination and feasibility study.
Keywords
: Battery Energy Storage System, Peak Shaving, Load Shifting, Load Leveling, BESS
Full Paper.pdf
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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