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Optimal of Placement for Battery Energy Storage System Installation Using Fuzzy Expert System in Thailand: A Case Study of Critical Closed-Circuit Television Positions

Author

Listed:
  • Chatchanan Panapiphat

    (Department of Electrical Engineering, Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi (RUS), Nonthaburi 11000, Thailand)

  • Ekawit Songkoh

    (Department of Industrial Engineering, Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi (RUS), Phra Nakhon Si Ayutthaya 13000, Thailand)

  • Siamrat Phonkaporn

    (Department of Electrical Engineering, Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi (RUS), Nonthaburi 11000, Thailand)

  • Karun Sirichunchuen

    (Department of Electrical Engineering, Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi (RUS), Nonthaburi 11000, Thailand)

  • Pramuk Unahalekhaka

    (Department of Electrical Engineering, Faculty of Engineering and Architecture, Rajamangala University of Technology Suvarnabhumi (RUS), Nonthaburi 11000, Thailand)

Abstract

This paper presents placement optimization for battery energy storage system installation using a fuzzy expert system. Nowadays, the Bangkok Metropolitan Administration (BMA) has installed CCTV cameras for surveillance, deterrence, and to record events as evidence for legal proceedings. However, in some areas, there is no BESS, so when the power goes out, recording cannot continue. This article uses a Fuzzy Logic Expert System to assess critical areas for the consideration of future BESS installation in Bangkok. The key factors include (1) the number of CCTV image requests from the Bangkok Metropolitan Administration, (2) the duration of power outages from the BMA, and (3) the total power consumption of the CCTV in each subdistrict. The study results show that the fuzzy expert system can effectively handle ambiguous data and improve decision-making. The Latkrabang and Lamphlatiew subdistricts have the most critical points where investment in BESS installation is most appropriate. The size of the BESS was determined based on the maximum recorded power outage duration of 57 min, with the backup power design for the BESS set at 1 h. The DIgSILENT program was used to determine the size of the BESS at each critical point, which was calculated to be 160.2 Wh.

Suggested Citation

  • Chatchanan Panapiphat & Ekawit Songkoh & Siamrat Phonkaporn & Karun Sirichunchuen & Pramuk Unahalekhaka, 2025. "Optimal of Placement for Battery Energy Storage System Installation Using Fuzzy Expert System in Thailand: A Case Study of Critical Closed-Circuit Television Positions," Energies, MDPI, vol. 18(6), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:6:p:1328-:d:1607901
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    References listed on IDEAS

    as
    1. David R. Garibello-Narváez & Eduardo Gómez-Luna & Juan C. Vasquez, 2024. "Performance Evaluation of Distance Relay Operation in Distribution Systems with Integrated Distributed Energy Resources," Energies, MDPI, vol. 17(18), pages 1-17, September.
    2. Nassipkul Dyussembekova & Reiner Schütt & Ingmar Leiße & Bente Ralfs, 2024. "Decision Process for Identifying Appropriate Devices for Power Transfer between Voltage Levels in Distribution Grids," Energies, MDPI, vol. 17(9), pages 1-12, April.
    3. Medvediev, Ievgen & Muzylyov, Dmitriy & Montewka, Jakub, 2024. "A model for agribusiness supply chain risk management using fuzzy logic. Case study: Grain route from Ukraine to Poland," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 190(C).
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