LAPSE:2023.20533v1
Published Article
LAPSE:2023.20533v1
Best Practice in Battery Energy Storage for Photovoltaic Systems in Low Voltage Distribution Network: A Case Study of Thailand Provincial Electricity Authority Network
Pairach Kitworawut, Nipon Ketjoy, Tawat Suriwong, Malinee Kaewpanha
March 20, 2023
Abstract
This research investigated the increases of the voltage profile on the Provincial Electricity Authority (PEA)’s low voltage (LV) network due to the solar photovoltaic (PV) penetration. This study proposed the solution to maintain the voltage profile within the PEA’s standard limitation by using battery energy storage system (BESS) application. The algorithm using bisection method to figure out the optimal size and location of BESS was examined and simulated in different scenarios such as summer/winter and weekend/weekday behaviors. Furthermore, the allocation of a battery in various locations was also considered. DIgSILENT power factory with DPL script and Python are the tools used to cover diverse scenario cases. The results showed that the best practice of how to implement BESS to solve the voltage rise problem was the BESS installation at the distribution transformer and the BESS installation separately at the end of each feeder near the loads. However, the optimal size of BESS installation at the distribution transformer was almost double that of installation at the end of each feeder.
Keywords
battery energy storage system, battery sizing algorithm, low voltage distribution network, solar PV penetration
Suggested Citation
Kitworawut P, Ketjoy N, Suriwong T, Kaewpanha M. Best Practice in Battery Energy Storage for Photovoltaic Systems in Low Voltage Distribution Network: A Case Study of Thailand Provincial Electricity Authority Network. (2023). LAPSE:2023.20533v1
Author Affiliations
Kitworawut P: School of Renewable Energy and Smart Grid Technology (SGtech), Naresuan University, Phitsanulok 65000, Thailand; Provincial Electricity Authority (PEA), 200 Ngamwongwan Road, Ladyao, Chatuchak, Bangkok 10900, Thailand
Ketjoy N: School of Renewable Energy and Smart Grid Technology (SGtech), Naresuan University, Phitsanulok 65000, Thailand [ORCID]
Suriwong T: School of Renewable Energy and Smart Grid Technology (SGtech), Naresuan University, Phitsanulok 65000, Thailand
Kaewpanha M: School of Renewable Energy and Smart Grid Technology (SGtech), Naresuan University, Phitsanulok 65000, Thailand
Journal Name
Energies
Volume
16
Issue
5
First Page
2469
Year
2023
Publication Date
2023-03-05
ISSN
1996-1073
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Original Submission
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PII: en16052469, Publication Type: Journal Article
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LAPSE:2023.20533v1
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https://doi.org/10.3390/en16052469
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