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Best Practice in Battery Energy Storage for Photovoltaic Systems in Low Voltage Distribution Network: A Case Study of Thailand Provincial Electricity Authority Network

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  • Pairach Kitworawut

    (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)

  • Nipon Ketjoy

    (School of Renewable Energy and Smart Grid Technology (SGtech), Naresuan University, Phitsanulok 65000, Thailand)

  • Tawat Suriwong

    (School of Renewable Energy and Smart Grid Technology (SGtech), Naresuan University, Phitsanulok 65000, Thailand)

  • Malinee Kaewpanha

    (School of Renewable Energy and Smart Grid Technology (SGtech), Naresuan University, Phitsanulok 65000, Thailand)

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.

Suggested Citation

  • Pairach Kitworawut & Nipon Ketjoy & Tawat Suriwong & Malinee Kaewpanha, 2023. "Best Practice in Battery Energy Storage for Photovoltaic Systems in Low Voltage Distribution Network: A Case Study of Thailand Provincial Electricity Authority Network," Energies, MDPI, vol. 16(5), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2469-:d:1088228
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    References listed on IDEAS

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    1. Seok-Il Go & Sang-Yun Yun & Seon-Ju Ahn & Joon-Ho Choi, 2020. "Voltage and Reactive Power Optimization Using a Simplified Linear Equations at Distribution Networks with DG," Energies, MDPI, vol. 13(13), pages 1-23, June.
    2. Guido Carpinelli & Fabio Mottola & Christian Noce & Angela Russo & Pietro Varilone, 2018. "A New Hybrid Approach Using the Simultaneous Perturbation Stochastic Approximation Method for the Optimal Allocation of Electrical Energy Storage Systems," Energies, MDPI, vol. 11(6), pages 1-20, June.
    3. Jannesar, Mohammad Rasol & Sedighi, Alireza & Savaghebi, Mehdi & Guerrero, Josep M., 2018. "Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration," Applied Energy, Elsevier, vol. 226(C), pages 957-966.
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    Cited by:

    1. Tao Wang & Cunhao Lin & Kuo Zheng & Wei Zhao & Xinglu Wang, 2023. "Research on Grid-Connected Control Strategy of Photovoltaic (PV) Energy Storage Based on Constant Power Operation," Energies, MDPI, vol. 16(24), pages 1-21, December.

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