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Impact of Battery Energy Storage System Operation Strategy on Power System: An Urban Railway Load Case under a Time-of-Use Tariff

Author

Listed:
  • Hyeongig Kim

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Jae-Haeng Heo

    (Research and Development Laboratory, MasterSpace, 1504, 361 Simin-daero, Dongan-gu, Anyang-si, Gyeonggi-do 14057, Korea)

  • Jong-Young Park

    (Metropolitan Transportation Research Center, Korea Railroad Research Institute (KRRI), 176, Cheoldo Bangmulgwan-ro, Uiwang-si, Gyeonggi-Do 16105, Korea)

  • Yong Tae Yoon

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

Abstract

Customer-owned battery energy storage systems (BESS) have been used to reduce electricity costs of energy storage owners (ESOs) under a time-of-use (TOU) tariff in Korea. However, the current TOU tariff can unintentionally induce customer’s electricity usage to have a negative impact on power systems. This paper verifies the impact of different BESS operation strategies on power systems under a TOU tariff by analyzing the TOU tariff structure and the customer’s load pattern. First, several BESS operation strategies of ESO are proposed to reduce the electricity cost. In addition, a degradation cost calculation method for lithium ion batteries is considered for the ESO to determine the optimal BESS operation strategy that maximizes both electricity cost and annual investment cost. The optimal BESS operation strategy that maximizes ESO’s net benefit is illustrated by simulation using an urban railway load data from Namgwangju Station, Korea. The results show that BESS connected to urban railway loads can negative impact power system operation. This is due to the high BESS degradation costs and lack of incentive of differential rates in TOU tariff that can effectively induce proper demand response.

Suggested Citation

  • Hyeongig Kim & Jae-Haeng Heo & Jong-Young Park & Yong Tae Yoon, 2017. "Impact of Battery Energy Storage System Operation Strategy on Power System: An Urban Railway Load Case under a Time-of-Use Tariff," Energies, MDPI, vol. 10(1), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:68-:d:87176
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    Citations

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    Cited by:

    1. Ibtihal Abdelmotteleb & Tomás Gómez & Javier Reneses, 2017. "Evaluation Methodology for Tariff Design under Escalating Penetrations of Distributed Energy Resources," Energies, MDPI, vol. 10(6), pages 1-16, June.
    2. Marcin Szott & Marcin Jarnut & Jacek Kaniewski & Łukasz Pilimon & Szymon Wermiński, 2021. "Fault-Tolerant Control in a Peak-Power Reduction System of a Traction Substation with Multi-String Battery Energy Storage System," Energies, MDPI, vol. 14(15), pages 1-23, July.
    3. Yuanli Liu & Minwu Chen & Shaofeng Lu & Yinyu Chen & Qunzhan Li, 2018. "Optimized Sizing and Scheduling of Hybrid Energy Storage Systems for High-Speed Railway Traction Substations," Energies, MDPI, vol. 11(9), pages 1-29, August.
    4. Hyo-Sang Go & In-Ho Cho & Gil-Dong Kim & Chul-Hwan Kim, 2018. "Reduction of Electricity Prices Using the Train to Grid (T2G) System in Urban Railway," Energies, MDPI, vol. 11(3), pages 1-17, February.

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