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Optimal Power Assignment of Energy Storage Systems to Improve the Energy Storage Efficiency for Frequency Regulation

Author

Listed:
  • Sung-Min Cho

    (Korea Electric Power Research Institute (KEPRI), Korea Electric Power Company (KEPCO), 105 Munji-Ro, Yuseong-gu, Daejeon 34056, Korea)

  • Sang-Yun Yun

    (Department of Electrical Engineering, Chonnam National University, 77 Yongbong-Ro, Buk-Gu, Gwangju 61186, Korea)

Abstract

Losses in energy storage systems (ESSs) are considered operational costs and it is critical to improve efficiency in order to expand their use. We proposed a method of improving efficiency through the operation algorithm of an ESS, consisting of multiple energy storage units (ESUs). Since the ESS used for frequency adjustment maintains a fast response characteristics, we have created a lookup table of efficient ESU operating combinations using genetic algorithms in advance to maintain a fast response time. In addition, the charge/discharge energy balance between the plurality of ESUs is maintained, and the deterioration is prevented from being concentrated in some ESUs. The proposed algorithm was reviewed based on three case studies. The first case study examined whether the lookup table obtained using the genetic algorithm well identified the optimal solution. The second compared the system that optimally distributes the output to ESUs to achieve ESS efficiency for frequency regulation with the system that uniformly distributes the output to ESUs. The third analyzed the impact of efficiency enhancement on the operation of an ESS for frequency regulation through a one-month simulation. The findings confirmed that when the entire system output is optimally allocated to the ESUs, the system’s economic efficiency can be improved by reducing the loss while maintaining the accumulative charge/discharge balance.

Suggested Citation

  • Sung-Min Cho & Sang-Yun Yun, 2017. "Optimal Power Assignment of Energy Storage Systems to Improve the Energy Storage Efficiency for Frequency Regulation," Energies, MDPI, vol. 10(12), pages 1-13, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2092-:d:122311
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    References listed on IDEAS

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    1. Wonchang Hur & Yongma Moon & Kwangsup Shin & Wooje Kim & Suchul Nam & Kijun Park, 2015. "Economic Value of Li-ion Energy Storage System in Frequency Regulation Application from Utility Firm’s Perspective in Korea," Energies, MDPI, vol. 8(6), pages 1-18, May.
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    Cited by:

    1. Sung-Min Cho & Jin-Su Kim & Jae-Chul Kim, 2019. "Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation," Energies, MDPI, vol. 12(9), pages 1-21, May.
    2. Michael Schimpe & Christian Piesch & Holger C. Hesse & Julian Paß & Stefan Ritter & Andreas Jossen, 2018. "Power Flow Distribution Strategy for Improved Power Electronics Energy Efficiency in Battery Storage Systems: Development and Implementation in a Utility-Scale System," Energies, MDPI, vol. 11(3), pages 1-17, March.
    3. Hee-Jun Cha & Sung-Eun Lee & Dongjun Won, 2019. "Implementation of Optimal Scheduling Algorithm for Multi-Functional Battery Energy Storage System," Energies, MDPI, vol. 12(7), pages 1-17, April.
    4. Hyung-Seung Kim & Junho Hong & In-Sun Choi, 2021. "Implementation of Distributed Autonomous Control Based Battery Energy Storage System for Frequency Regulation," Energies, MDPI, vol. 14(9), pages 1-19, May.
    5. Ying-Yi Hong & Yong-Zhen Lai & Yung-Ruei Chang & Yih-Der Lee & Chia-Hui Lin, 2018. "Optimizing Energy Storage Capacity in Islanded Microgrids Using Immunity-Based Multiobjective Planning," Energies, MDPI, vol. 11(3), pages 1-15, March.
    6. Junhui Li & Yunbao Ma & Gang Mu & Xichao Feng & Gangui Yan & Gan Guo & Tianyang Zhang, 2018. "Optimal Configuration of Energy Storage System Coordinating Wind Turbine to Participate Power System Primary Frequency Regulation," Energies, MDPI, vol. 11(6), pages 1-16, May.
    7. Fei Teng & Danny Pudjianto & Marko Aunedi & Goran Strbac, 2018. "Assessment of Future Whole-System Value of Large-Scale Pumped Storage Plants in Europe," Energies, MDPI, vol. 11(1), pages 1-19, January.

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