IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v361y2024ics0306261924003052.html
   My bibliography  Save this article

Dynamic partitioning method for independent energy storage zones participating in peak modulation and frequency modulation under the auxiliary service market

Author

Listed:
  • Li, Junhui
  • Zhang, Jingxiang
  • Mu, Gang
  • Li, Cuiping
  • Yan, Gangui
  • Zhu, Xingxu
  • Jia, Chen

Abstract

With the increasing installed capacity of energy storage and the rapid accelerating process of electricity marketization, grid-side independent energy storage are beginning to generate profit by participating in the ancillary service market and reducing the strain on the grid. Although energy storage are currently involved in only one auxiliary service, their low utilization and low revenue can make it difficult to recover costs quickly. A method is presented in this article for optimizing peak modulation (PM) and optimizing frequency modulation (FM) in the auxiliary services market by dynamically partitioning independent energy storage partitions. This paper focuses on developing a method for secondary power allocation that is combined with two-level nested optimization. For two different markets and two different methods, separate power allocations are required. The outer layer optimization depends on the inner layer optimization results to produce the optimal primary allocated power, and the inner layer optimization is constrained by the outer layer optimization results to produce the optimal secondary allocated power. Additionally, the method can not only be applied to fixed type energy storage, but also to pure PM stations and pure FM stations; this paper also proposes an improved method for energy storage containing two batteries and providing two auxiliary services. According to the results of the study, the proposed strategy has a better economic value as well as better engineering value as compared with a single auxiliary service and two different coordination methods.

Suggested Citation

  • Li, Junhui & Zhang, Jingxiang & Mu, Gang & Li, Cuiping & Yan, Gangui & Zhu, Xingxu & Jia, Chen, 2024. "Dynamic partitioning method for independent energy storage zones participating in peak modulation and frequency modulation under the auxiliary service market," Applied Energy, Elsevier, vol. 361(C).
    • Handle: RePEc:eee:appene:v:361:y:2024:i:c:s0306261924003052
    DOI: 10.1016/j.apenergy.2024.122922
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924003052
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.122922?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. Sun, Lingling & Qiu, Jing & Han, Xiao & Yin, Xia & Dong, Zhaoyang, 2020. "Per-use-share rental strategy of distributed BESS in joint energy and frequency control ancillary services markets," Applied Energy, Elsevier, vol. 277(C).
    2. González-Garrido, A. & Gaztañaga, H. & Saez-de-Ibarra, A. & Milo, A. & Eguia, P., 2020. "Electricity and reserve market bidding strategy including sizing evaluation and a novel renewable complementarity-based centralized control for storage lifetime enhancement," Applied Energy, Elsevier, vol. 262(C).
    3. Alipour, Manijeh & Mohammadi-Ivatloo, Behnam & Moradi-Dalvand, Mohammad & Zare, Kazem, 2017. "Stochastic scheduling of aggregators of plug-in electric vehicles for participation in energy and ancillary service markets," Energy, Elsevier, vol. 118(C), pages 1168-1179.
    4. Hu, Yu & Armada, Miguel & Jesús Sánchez, María, 2022. "Potential utilization of battery energy storage systems (BESS) in the major European electricity markets," Applied Energy, Elsevier, vol. 322(C).
    5. Hu, Qian & Zhu, Ziqing & Bu, Siqi & Wing Chan, Ka & Li, Fangxing, 2021. "A multi-market nanogrid P2P energy and ancillary service trading paradigm: Mechanisms and implementations," Applied Energy, Elsevier, vol. 293(C).
    6. Yu Hu & Miguel Armada & Maria Jesus Sanchez, 2021. "Potential utilization of Battery Energy Storage Systems (BESS) in the major European electricity markets," Papers 2112.09816, arXiv.org, revised Jun 2022.
    7. Wang, Jianxiao & Zhong, Haiwang & Tang, Wenyuan & Rajagopal, Ram & Xia, Qing & Kang, Chongqing & Wang, Yi, 2017. "Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products," Applied Energy, Elsevier, vol. 205(C), pages 294-303.
    8. 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.
    9. 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.
    10. Pearre, Nathaniel S. & Swan, Lukas G., 2015. "Technoeconomic feasibility of grid storage: Mapping electrical services and energy storage technologies," Applied Energy, Elsevier, vol. 137(C), pages 501-510.
    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. 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).
    2. Banshwar, Anuj & Sharma, Naveen Kumar & Sood, Yog Raj & Shrivastava, Rajnish, 2018. "An international experience of technical and economic aspects of ancillary services in deregulated power industry: Lessons for emerging BRIC electricity markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 774-801.
    3. Jun Dong & Dongran Liu & Xihao Dou & Bo Li & Shiyao Lv & Yuzheng Jiang & Tongtao Ma, 2021. "Key Issues and Technical Applications in the Study of Power Markets as the System Adapts to the New Power System in China," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
    4. Braeuer, Fritz & Rominger, Julian & McKenna, Russell & Fichtner, Wolf, 2019. "Battery storage systems: An economic model-based analysis of parallel revenue streams and general implications for industry," Applied Energy, Elsevier, vol. 239(C), pages 1424-1440.
    5. Topalović, Zejneba & Haas, Reinhard & Sayer, Marlene, 2024. "Economic benefits of PHS and Li-ion storage. Study cases: Austria and Bosnia and Herzegovina," Applied Energy, Elsevier, vol. 362(C).
    6. 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).
    7. Ma, Qianli & Wei, Wei & Mei, Shengwei, 2024. "Health-aware coordinate long-term and short-term operation for BESS in energy and frequency regulation markets," Applied Energy, Elsevier, vol. 356(C).
    8. Xie, Chunping & Hong, Yan & Ding, Yulong & Li, Yongliang & Radcliffe, Jonathan, 2018. "An economic feasibility assessment of decoupled energy storage in the UK: With liquid air energy storage as a case study," Applied Energy, Elsevier, vol. 225(C), pages 244-257.
    9. Li, Zhengshuo & Guo, Qinglai & Sun, Hongbin & Wang, Jianhui, 2015. "Storage-like devices in load leveling: Complementarity constraints and a new and exact relaxation method," Applied Energy, Elsevier, vol. 151(C), pages 13-22.
    10. Md. Shafiul Alam & Tanzi Ahmed Chowdhury & Abhishak Dhar & Fahad Saleh Al-Ismail & M. S. H. Choudhury & Md Shafiullah & Md. Ismail Hossain & Md. Alamgir Hossain & Aasim Ullah & Syed Masiur Rahman, 2023. "Solar and Wind Energy Integrated System Frequency Control: A Critical Review on Recent Developments," Energies, MDPI, vol. 16(2), pages 1-31, January.
    11. Samuel O. Ezennaya & Julia Kowal, 2024. "Optimizing Energy Arbitrage: Benchmark Models for LFP Battery Dynamic Activation Costs in Reactive Balancing Market," Sustainability, MDPI, vol. 16(9), pages 1-31, April.
    12. Pablo Carrasco Ortega & Pablo Durán Gómez & Julio César Mérida Sánchez & Fernando Echevarría Camarero & Ángel Á. Pardiñas, 2023. "Battery Energy Storage Systems for the New Electricity Market Landscape: Modeling, State Diagnostics, Management, and Viability—A Review," Energies, MDPI, vol. 16(17), pages 1-51, August.
    13. Xia, Yuanxing & Xu, Qingshan & Chen, Lu & Du, Pengwei, 2022. "The flexible roles of distributed energy storages in peer-to-peer transactive energy market: A state-of-the-art review," Applied Energy, Elsevier, vol. 327(C).
    14. Blanco, Herib & Faaij, André, 2018. "A review at the role of storage in energy systems with a focus on Power to Gas and long-term storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1049-1086.
    15. Kumar, Abhishek & Meena, Nand K. & Singh, Arvind R. & Deng, Yan & He, Xiangning & Bansal, R.C. & Kumar, Praveen, 2019. "Strategic integration of battery energy storage systems with the provision of distributed ancillary services in active distribution systems," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    16. Dirk Lauinger & Franc{c}ois Vuille & Daniel Kuhn, 2023. "Frequency Regulation with Storage: On Losses and Profits," Papers 2306.02987, arXiv.org, revised Mar 2024.
    17. Guandalini, Giulio & Campanari, Stefano & Romano, Matteo C., 2015. "Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment," Applied Energy, Elsevier, vol. 147(C), pages 117-130.
    18. Tom Brijs & Daniel Huppmann & Sauleh Siddiqui & Ronnie Belmans, 2016. "Auction-Based Allocation of Shared Electricity Storage Resources through Physical Storage Rights," Discussion Papers of DIW Berlin 1566, DIW Berlin, German Institute for Economic Research.
    19. Silva, Ana R. & Pousinho, H.M.I. & Estanqueiro, Ana, 2022. "A multistage stochastic approach for the optimal bidding of variable renewable energy in the day-ahead, intraday and balancing markets," Energy, Elsevier, vol. 258(C).
    20. Lan, Hai & Wen, Shuli & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun, 2015. "Optimal sizing of hybrid PV/diesel/battery in ship power system," Applied Energy, Elsevier, vol. 158(C), pages 26-34.

    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:appene:v:361:y:2024:i:c:s0306261924003052. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.