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Synergies between energy arbitrage and fast frequency response for battery energy storage systems

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  • Pusceddu, Elian
  • Zakeri, Behnam
  • Castagneto Gissey, Giorgio

Abstract

Energy storage can make key contributions to balancing future low-carbon energy systems by providing a variety of energy system services, with batteries expected to be widely deployed as costs fall with innovation. This paper assesses whether synergies exist between two of the most significant of these services, fast frequency response and energy arbitrage, if a battery energy storage system (BESS) is used to deliver both. A techno-economic model is developed to simulate 600 possible fast frequency response availability windows. Results show that two distinct synergies exist between the two services. The first synergy accounts for the possibility of charging outside the deadband for delivering fast frequency response. We propose an innovative state-of-charge management strategy to exploit this synergy. The second synergy results from energy arbitrage revenues being highly concentrated around peak times, which can enable a battery system to capture most of the arbitrage revenues without an excessive reduction in revenues from capacity provision with enhanced frequency response. The combination of these two synergies means that a battery system could increase its operating profits by 25% by delivering arbitrage and frequency response alternately. This result is shown to be statistically robust using historical data. A battery system able to discharge for 1.5–2 h at its full power rating will most most likely optimise these synergies.

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  • Pusceddu, Elian & Zakeri, Behnam & Castagneto Gissey, Giorgio, 2021. "Synergies between energy arbitrage and fast frequency response for battery energy storage systems," Applied Energy, Elsevier, vol. 283(C).
  • Handle: RePEc:eee:appene:v:283:y:2021:i:c:s0306261920316640
    DOI: 10.1016/j.apenergy.2020.116274
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    1. Merten, Michael & Rücker, Fabian & Schoeneberger, Ilka & Sauer, Dirk Uwe, 2020. "Automatic frequency restoration reserve market prediction: Methodology and comparison of various approaches," Applied Energy, Elsevier, vol. 268(C).
    2. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    3. Greenwood, D.M. & Lim, K.Y. & Patsios, C. & Lyons, P.F. & Lim, Y.S. & Taylor, P.C., 2017. "Frequency response services designed for energy storage," Applied Energy, Elsevier, vol. 203(C), pages 115-127.
    4. Loisel, Rodica & Mercier, Arnaud & Gatzen, Christoph & Elms, Nick & Petric, Hrvoje, 2010. "Valuation framework for large scale electricity storage in a case with wind curtailment," Energy Policy, Elsevier, vol. 38(11), pages 7323-7337, November.
    5. Goutte, Stéphane & Vassilopoulos, Philippe, 2019. "The value of flexibility in power markets," Energy Policy, Elsevier, vol. 125(C), pages 347-357.
    6. Li, Canbing & Shi, Haiqing & Cao, Yijia & Wang, Jianhui & Kuang, Yonghong & Tan, Yi & Wei, Jing, 2015. "Comprehensive review of renewable energy curtailment and avoidance: A specific example in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1067-1079.
    7. Cheng, Meng & Sami, Saif Sabah & Wu, Jianzhong, 2017. "Benefits of using virtual energy storage system for power system frequency response," Applied Energy, Elsevier, vol. 194(C), pages 376-385.
    8. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    9. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    10. Li, Yong & He, Li & Liu, Fang & Tan, Yi & Cao, Yijia & Luo, Longfu & Shahidehpour, Mohammod, 2018. "A dynamic coordinated control strategy of WTG-ES combined system for short-term frequency support," Renewable Energy, Elsevier, vol. 119(C), pages 1-11.
    11. Poudineh, Rahmatallah & Jamasb, Tooraj, 2014. "Distributed generation, storage, demand response and energy efficiency as alternatives to grid capacity enhancement," Energy Policy, Elsevier, vol. 67(C), pages 222-231.
    12. de Sisternes, Fernando J. & Jenkins, Jesse D. & Botterud, Audun, 2016. "The value of energy storage in decarbonizing the electricity sector," Applied Energy, Elsevier, vol. 175(C), pages 368-379.
    13. Cho, Joohyun & Kleit, Andrew N., 2015. "Energy storage systems in energy and ancillary markets: A backwards induction approach," Applied Energy, Elsevier, vol. 147(C), pages 176-183.
    14. Holger C. Hesse & Rodrigo Martins & Petr Musilek & Maik Naumann & Cong Nam Truong & Andreas Jossen, 2017. "Economic Optimization of Component Sizing for Residential Battery Storage Systems," Energies, MDPI, vol. 10(7), pages 1-19, June.
    15. Moreno, Rodrigo & Moreira, Roberto & Strbac, Goran, 2015. "A MILP model for optimising multi-service portfolios of distributed energy storage," Applied Energy, Elsevier, vol. 137(C), pages 554-566.
    16. Zafirakis, Dimitrios & Chalvatzis, Konstantinos J. & Baiocchi, Giovanni & Daskalakis, Georgios, 2016. "The value of arbitrage for energy storage: Evidence from European electricity markets," Applied Energy, Elsevier, vol. 184(C), pages 971-986.
    17. Sioshansi, Ramteen & Denholm, Paul & Jenkin, Thomas & Weiss, Jurgen, 2009. "Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects," Energy Economics, Elsevier, vol. 31(2), pages 269-277, March.
    18. He, Guannan & Ciez, Rebecca & Moutis, Panayiotis & Kar, Soummya & Whitacre, Jay F., 2020. "The economic end of life of electrochemical energy storage," Applied Energy, Elsevier, vol. 273(C).
    Full references (including those not matched with items on IDEAS)

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    3. Nitsch, Felix & Deissenroth-Uhrig, Marc & Schimeczek, Christoph & Bertsch, Valentin, 2021. "Economic evaluation of battery storage systems bidding on day-ahead and automatic frequency restoration reserves markets," Applied Energy, Elsevier, vol. 298(C).
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    7. Wen, Kerui & Li, Weidong & Yu, Samson Shenglong & Li, Ping & Shi, Peng, 2022. "Optimal intra-day operations of behind-the-meter battery storage for primary frequency regulation provision: A hybrid lookahead method," Energy, Elsevier, vol. 247(C).
    8. Zakeri, Behnam & Gissey, Giorgio Castagneto & Dodds, Paul E. & Subkhankulova, Dina, 2021. "Centralized vs. distributed energy storage – Benefits for residential users," Energy, Elsevier, vol. 236(C).
    9. Joel Alpízar-Castillo & Laura Ramirez-Elizondo & Pavol Bauer, 2022. "Assessing the Role of Energy Storage in Multiple Energy Carriers toward Providing Ancillary Services: A Review," Energies, MDPI, vol. 16(1), pages 1-31, December.
    10. Sai, Wei & Pan, Zehua & Liu, Siyu & Jiao, Zhenjun & Zhong, Zheng & Miao, Bin & Chan, Siew Hwa, 2023. "Event-driven forecasting of wholesale electricity price and frequency regulation price using machine learning algorithms," Applied Energy, Elsevier, vol. 352(C).
    11. Zhang, Mingze & Li, Weidong & Yu, Samson Shenglong & Wang, Haixia & Ba, Yu, 2024. "Optimal day-ahead large-scale battery dispatch model for multi-regulation participation considering full timescale uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    12. Yuan, Meng & Sorknæs, Peter & Lund, Henrik & Liang, Yongtu, 2022. "The bidding strategies of large-scale battery storage in 100% renewable smart energy systems," Applied Energy, Elsevier, vol. 326(C).
    13. Bahloul, Mohamed & Daoud, Mohamed & Khadem, Shafi K., 2024. "Optimal dispatch of battery energy storage for multi-service provision in a collocated PV power plant considering battery ageing," Energy, Elsevier, vol. 293(C).
    14. Ekaterina Bayborodina & Michael Negnevitsky & Evan Franklin & Alison Washusen, 2021. "Grid-Scale Battery Energy Storage Operation in Australian Electricity Spot and Contingency Reserve Markets," Energies, MDPI, vol. 14(23), pages 1-21, December.

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