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The United Kingdom electricity market mechanism: A tool for a battery energy storage system optimal dispatching

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  • Casella, Virginia
  • La Fata, Alice
  • Suzzi, Stefano
  • Barbero, Giulia
  • Barilli, Riccardo

Abstract

In this paper, the role of a Battery Energy Storage System (BESS) in the United Kingdom (UK) electricity market is investigated. Such device is selected since research works related to the topic demonstrate that BESSs help facing challenges caused by renewable energy sources increasing penetration in the power systems’ field. Indeed, in the next future, BESSs will assume a relevant role thanks to their fast response time. In the present paper, an optimization model is implemented to encode the UK market rules and output the optimal set of offers on day-ahead and intraday markets, dynamic frequency response services and imbalance settlement. The market rules are formalised in a mathematical model considering market temporal sequencing and BESS technical limitations. The tool also models the state of energy management, necessary since BESSs are energy limited assets. Objective function and constraints are linearized to define a Mixed Integer Linear Programming problem to reduce the computational burden and to integrate the model in the Energy Management System previously developed at University of Genoa. Specific tests are performed including and excluding ancillary services to evaluate the related advantages. The obtained outcomes reveal that ancillary services are the most convenient options within all the implemented scenarios.

Suggested Citation

  • Casella, Virginia & La Fata, Alice & Suzzi, Stefano & Barbero, Giulia & Barilli, Riccardo, 2024. "The United Kingdom electricity market mechanism: A tool for a battery energy storage system optimal dispatching," Renewable Energy, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:renene:v:231:y:2024:i:c:s0960148124010255
    DOI: 10.1016/j.renene.2024.120957
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    1. Dinh, Huy Truong & Lee, Kyu-haeng & Kim, Daehee, 2022. "Supervised-learning-based hour-ahead demand response for a behavior-based home energy management system approximating MILP optimization," Applied Energy, Elsevier, vol. 321(C).
    2. Liu, Jinqi & Wang, Jihong & Cardinal, Joel, 2022. "Evolution and reform of UK electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    3. Qingyuan Feng & Tianyu He & Shencheng Qian & Peng Xu & Saihu Liao & Shenlin Huang, 2023. "Electroreductive hydroxy fluorosulfonylation of alkenes," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    4. Peiliu Li & Xianfu Huang & Ya-Pu Zhao, 2023. "Electro-capillary peeling of thin films," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    5. La Fata, Alice & Brignone, Massimo & Procopio, Renato & Bracco, Stefano & Delfino, Federico & Barilli, Riccardo & Ravasi, Martina & Zanellini, Fabio, 2022. "An efficient Energy Management System for long term planning and real time scheduling of flexible polygeneration systems," Renewable Energy, Elsevier, vol. 200(C), pages 1180-1201.
    6. Yves Auad & Eduardo J. C. Dias & Marcel Tencé & Jean-Denis Blazit & Xiaoyan Li & Luiz Fernando Zagonel & Odile Stéphan & Luiz H. G. Tizei & F. Javier García de Abajo & Mathieu Kociak, 2023. "μeV electron spectromicroscopy using free-space light," Nature Communications, Nature, vol. 14(1), pages 1-6, December.
    7. Rappaport, Ron D. & Miles, John, 2017. "Cloud energy storage for grid scale applications in the UK," Energy Policy, Elsevier, vol. 109(C), pages 609-622.
    8. ChungHyuk Lee & Wilton J. M. Kort-Kamp & Haoran Yu & David A. Cullen & Brian M. Patterson & Tanvir Alam Arman & Siddharth Komini Babu & Rangachary Mukundan & Rod L. Borup & Jacob S. Spendelow, 2023. "Grooved electrodes for high-power-density fuel cells," Nature Energy, Nature, vol. 8(7), pages 685-694, July.
    9. Martins, Jason & Miles, John, 2021. "A techno-economic assessment of battery business models in the UK electricity market," Energy Policy, Elsevier, vol. 148(PB).
    10. Pablo González-Inostroza & Claudia Rahmann & Ricardo Álvarez & Jannik Haas & Wolfgang Nowak & Christian Rehtanz, 2021. "The Role of Fast Frequency Response of Energy Storage Systems and Renewables for Ensuring Frequency Stability in Future Low-Inertia Power Systems," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    11. Debasish Mondal & Smruti Rekha Mahapatra & Abigail M. Derrico & Rajeev Kumar Rai & Jay R. Paudel & Christoph Schlueter & Andrei Gloskovskii & Rajdeep Banerjee & Atsushi Hariki & Frank M. F. DeGroot & , 2023. "Modulation-doping a correlated electron insulator," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    12. Qian Jia & Ying Wang & Zhenci Xu & Fengting Li, 2023. "Electricity outages delay SDGs in sub-Saharan Africa," Nature, Nature, vol. 618(7963), pages 30-30, June.
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