Contingency Reserve Evaluation for Fast Frequency Response of Multiple Battery Energy Storage Systems in a Large-scale Power Grid

Indira Alcaide-Godinez; Feifei Bai; Tapan Kumar Saha; Rizah Memisevic

doi:10.17775/CSEEJPES.2022.01050

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Contingency Reserve Evaluation for Fast Frequency Response of Multiple Battery Energy Storage Systems in a Large-scale Power Grid

Special Section Papers | 更新时间：2026-10-15

- Contingency Reserve Evaluation for Fast Frequency Response of Multiple Battery Energy Storage Systems in a Large-scale Power Grid
- CSEE Journal of Power and Energy Systems Vol. 9, Issue 3, Pages: 873-883(2023)
- 作者机构：
  
  1. School of Information Technology and Electrical Engineering, the University of Queensland (UQ),Brisbane,Australia
  2. School of Engineering and Built Environment, Griffith University,Gold Coast,Australia
  3. EPEC Group,QLD,Brisbane,Australia
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.01050
  CLC：
- Published：01 May 2023
- 稿件说明：
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Indira Alcaide-Godinez, Feifei Bai, Tapan Kumar Saha, et al. Contingency Reserve Evaluation for Fast Frequency Response of Multiple Battery Energy Storage Systems in a Large-scale Power Grid[J]. CSEE Journal of Power and Energy Systems, 2023, 9(3): 873-883.
DOI：

Indira Alcaide-Godinez, Feifei Bai, Tapan Kumar Saha, et al. Contingency Reserve Evaluation for Fast Frequency Response of Multiple Battery Energy Storage Systems in a Large-scale Power Grid[J]. CSEE Journal of Power and Energy Systems, 2023, 9(3): 873-883. DOI： 10.17775/CSEEJPES.2022.01050.

摘要

Abstract

Recently

the fast frequency response (FFR) service by large-scale battery energy storage systems (BESSs) has been successfully proved to arrest the frequency excursion during an unexpected power outage. However

adequate frequency response relies on proper evaluation of the contingency reserve of BESSs. The BESS FFR reserve is commonly managed under fixed contracts

ignoring various response characteristics of different BESSs and their coexisting interactions. This paper proposes a new methodology based on dynamic grid response and various BESS response characteristics to optimise the FFR reserves and prevent the frequency from breaching the under-frequency load shedding (UFLS) thresholds. The superiority of the proposed method is demonstrated to manage three large-scale BESSs operating simultaneously in an Australian power grid under high renewable penetration scenarios. Further

the proposed method can identify remaining battery power and energy reserve to be safely utilised for other grid services (e.g.

energy arbitrage). The results can provide valuable insights for integrating FFR into conventional ancillary services and techno-effective management of multiple BESSs.

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references

28. SIEMENS. ( 2021 ). PSS®E - high-performance transmission planning and analysis software . [Online ] . Available: www.new.siemens.com.

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