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ISSN:
2315-4462 (Print); 2373-3594 (Online)
Abbreviated Title:
Int. J Smart Grid Clean Energy
Frequency:
Semi-annual
Editor-in-Chief:
Prof. Danny Sutanto
Managing Editor:
Ms Jennifer Zeng
DOI:
10.12720/sgce
APC:
500 USD
Indexed by:
Inspec (IET),
CNKI
, Google Scholar,
etc
.
E-mail:
editor@ijsgce.com
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 (IJSGCE)and hope that the publication can enrich the readers’ experience .... [
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What's New
2025-03-12
IJSGCE adopts Semi-annual Frequency now !
2024-11-27
IJSGCE opened Online Submission System.
2024-11-27
IJSGCE Vol. 11, No. 5 has been published online!
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2021
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Vol. 10, No. 2, April 2021
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Optimal operation of BESS for peak shaving of distribution network using fuzzy logic controller
Author(s): Moh Moh Win Shwe
a
, Wunna Swe
a
, Shouji USUDA
b
a
Department of Electrical Power Engineering, Mandalay Technological University, Myanmar
b
Hosei University Graduate School, Institute of Climate Change Energy Policy
International Journal of Smart Grid and Clean Energy
, vol. 10, no. 2, April 2021: pp. 105-114
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.10.2.105-114
Abstract
: Responding to the increase in the production of electric energy from renewable resources has become a new development theme for the energy supply network. Today's power systems need to maintain a stable supply-demand balance at all times, manage the supply grid more flexibly, and ensure optimal levels of energy efficiency. Battery Energy Storage System (BESS) have received significant observation over the last decade because of their role in grid modernization. Currently, energy storage plays an important part in grid modernization to provide a number of services, such as peak shaving. In this research, BESS for peak shaving of utility grid MWh storage applications, Chauk township distribution system (located in Magway division of central Myanmar) is studied. A novel Fuzzy Logic Control (FLC) algorithm is developed based on the load characteristic of the grid and takes into account the usable energy from the batteries during the operation of the BESS based on their State-of-Charge (SOC) and determined the amount of power delivered to the grid. Experiments have been carried out to evaluate the performance of the Fuzzy Logic Control (FLC) algorithm.
Keywords
: Battery Energy Storage System (BESS), Fuzzy-logic control (FLC) algorithm, Peak Shaving, SOC
Full Paper.pdf
Copyright © 2021 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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