IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v231y2024ics0960148124010255.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124010255
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2024.120957?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. Liu, Jinqi & Wang, Jihong & Cardinal, Joel, 2022. "Evolution and reform of UK electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    4. 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.
    5. 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.
    6. 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.
    7. Martins, Jason & Miles, John, 2021. "A techno-economic assessment of battery business models in the UK electricity market," Energy Policy, Elsevier, vol. 148(PB).
    8. 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.
    9. Peiliu Li & Xianfu Huang & Ya-Pu Zhao, 2023. "Electro-capillary peeling of thin films," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    10. 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.
    11. 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.
    12. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Akter, Hosne Ara & Masum, Farhad Hossain & Dwivedi, Puneet, 2024. "Life cycle emissions and unit production cost of sustainable aviation fuel from logging residues in Georgia, United States," Renewable Energy, Elsevier, vol. 228(C).
    2. Norman, E.A. & Maestre, V.M. & Ortiz, A. & Ortiz, I., 2024. "Steam electrolysis for green hydrogen generation. State of the art and research perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    3. Soha, Tamás & Munkácsy, Béla & Harmat, Ádám & Csontos, Csaba & Horváth, Gergely & Tamás, László & Csüllög, Gábor & Daróczi, Henriett & Sáfián, Fanni & Szabó, Mária, 2017. "GIS-based assessment of the opportunities for small-scale pumped hydro energy storage in middle-mountain areas focusing on artificial landscape features," Energy, Elsevier, vol. 141(C), pages 1363-1373.
    4. Su, Chao & Chen, Zhidong & Wu, Zexuan & Zhang, Jing & Li, Kaiyang & Hao, Junhong & Kong, Yanqiang & Zhang, Naiqiang, 2024. "Experimental and numerical study of thermal coupling on catalyst-coated membrane for proton exchange membrane water electrolyzer," Applied Energy, Elsevier, vol. 357(C).
    5. Kaiyan Wang & Xueyan Wang & Rong Jia & Jian Dang & Yan Liang & Haodong Du, 2022. "Research on Coupled Cooperative Operation of Medium- and Long-Term and Spot Electricity Transaction for Multi-Energy System: A Case Study in China," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    6. Zhao, Wenjuan & Lin, Bin & Wang, Hao & Wang, Faze & Asghar, Muhammad Imran & Wang, Jun & Zhu, Bin & Lund, Peter, 2024. "A half-metallic heterostructure fuel cell with high performance," Renewable Energy, Elsevier, vol. 232(C).
    7. La Fata, Alice & Brignone, Massimo & Procopio, Renato & Bracco, Stefano & Delfino, Federico & Barbero, Giulia & Barilli, Riccardo, 2024. "An energy management system to schedule the optimal participation to electricity markets and a statistical analysis of the bidding strategies over long time horizons," Renewable Energy, Elsevier, vol. 228(C).
    8. Foglia, Matteo & Palomba, Giulio & Tedeschi, Marco, 2023. "Disentangling the geopolitical risk and its effects on commodities. Evidence from a panel of G8 countries," Resources Policy, Elsevier, vol. 85(PB).
    9. Pang, Xinfu & Wang, Yibao & Yu, Yang & Liu, Wei, 2024. "Optimal scheduling of a cogeneration system via Q-learning-based memetic algorithm considering demand-side response," Energy, Elsevier, vol. 300(C).
    10. Ren, Kezheng & Liu, Jun & Wu, Zeyang & Liu, Xinglei & Nie, Yongxin & Xu, Haitao, 2024. "A data-driven DRL-based home energy management system optimization framework considering uncertain household parameters," Applied Energy, Elsevier, vol. 355(C).
    11. Lin, Boqiang & Jia, Zhijie, 2019. "Impacts of carbon price level in carbon emission trading market," Applied Energy, Elsevier, vol. 239(C), pages 157-170.
    12. Michas, Serafeim & Flamos, Alexandros, 2023. "Are there preferable capacity combinations of renewables and storage? Exploratory quantifications along various technology deployment pathways," Energy Policy, Elsevier, vol. 174(C).
    13. Michas, Serafeim & Flamos, Alexandros, 2024. "Least-cost or sustainable? Exploring power sector transition pathways," Energy, Elsevier, vol. 296(C).
    14. Lai, Kexing & Illindala, Mahesh S., 2018. "A distributed energy management strategy for resilient shipboard power system," Applied Energy, Elsevier, vol. 228(C), pages 821-832.
    15. Varela Soares, Ian & Mauger, Romain & Santos, Thauan, 2023. "Considerations for benefit stacking policies in the EU electricity storage market," Energy Policy, Elsevier, vol. 172(C).
    16. Rangarajan, Arvind & Foley, Sean & Trück, Stefan, 2023. "Assessing the impact of battery storage on Australian electricity markets," Energy Economics, Elsevier, vol. 120(C).
    17. Cui, Feifei & An, Dou & Xi, Huan, 2024. "Integrated energy hub dispatch with a multi-mode CAES–BESS hybrid system: An option-based hierarchical reinforcement learning approach," Applied Energy, Elsevier, vol. 374(C).
    18. Li, Ningning & Gao, Yan, 2023. "Real-time pricing based on convex hull method for smart grid with multiple generating units," Energy, Elsevier, vol. 285(C).
    19. Yang, Miao & Ding, Tao & Chang, Xinyue & Xue, Yixun & Ge, Huaichang & Jia, Wenhao & Du, Sijun & Zhang, Hongji, 2024. "Analysis of equivalent energy storage for integrated electricity-heat system," Energy, Elsevier, vol. 303(C).
    20. Lin, Jianing & Bao, Minglei & Liang, Ziyang & Sang, Maosheng & Ding, Yi, 2022. "Spatio-temporal evaluation of electricity price risk considering multiple uncertainties under extreme cold weather," Applied Energy, Elsevier, vol. 328(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:231:y:2024:i:c:s0960148124010255. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.