IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v260y2020ics0306261919320215.html
   My bibliography  Save this article

Pricing inertia and Frequency Response with diverse dynamics in a Mixed-Integer Second-Order Cone Programming formulation

Author

Listed:
  • Badesa, L.
  • Teng, F.
  • Strbac, G.

Abstract

Low levels of system inertia in power grids with significant penetration of non-synchronous Renewable Energy Sources (RES) have increased the risk of frequency instability. The provision of a certain type of ancillary services such as inertia and Frequency Response (FR) is needed at all times, to maintain system frequency within secure limits if the loss of a large power infeed were to occur. In this paper we propose a frequency-secured optimisation framework for the procurement of inertia and FR with diverse dynamics, which enables to apply a marginal-pricing scheme for these services. This pricing scheme, deduced from a Mixed-Integer Second-Order Cone Program (MISOCP) formulation that represents frequency-security constraints, allows for the first time to appropriately value multi-speed FR.

Suggested Citation

  • Badesa, L. & Teng, F. & Strbac, G., 2020. "Pricing inertia and Frequency Response with diverse dynamics in a Mixed-Integer Second-Order Cone Programming formulation," Applied Energy, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:appene:v:260:y:2020:i:c:s0306261919320215
    DOI: 10.1016/j.apenergy.2019.114334
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919320215
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2019.114334?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. Greve, Thomas & Teng, Fei & Pollitt, Michael G. & Strbac, Goran, 2018. "A system operator’s utility function for the frequency response market," Applied Energy, Elsevier, vol. 231(C), pages 562-569.
    2. Teng, Fei & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Zeng, Pingliang & Strbac, Goran, 2017. "Challenges on primary frequency control and potential solution from EVs in the future GB electricity system," Applied Energy, Elsevier, vol. 194(C), pages 353-362.
    3. Lee, Rachel & Homan, Samuel & Mac Dowell, Niall & Brown, Solomon, 2019. "A closed-loop analysis of grid scale battery systems providing frequency response and reserve services in a variable inertia grid," Applied Energy, Elsevier, vol. 236(C), pages 961-972.
    4. Jia, Hongjie & Li, Xiaomeng & Mu, Yunfei & Xu, Chen & Jiang, Yilang & Yu, Xiaodan & Wu, Jianzhong & Dong, Chaoyu, 2018. "Coordinated control for EV aggregators and power plants in frequency regulation considering time-varying delays," Applied Energy, Elsevier, vol. 210(C), pages 1363-1376.
    5. Ramteen Sioshansi & Antonio J. Conejo, 2017. "Optimization in Engineering," Springer Optimization and Its Applications, Springer, number 978-3-319-56769-3, June.
    6. Yan, Ruifeng & Saha, Tapan Kumar & Modi, Nilesh & Masood, Nahid-Al & Mosadeghy, Mehdi, 2015. "The combined effects of high penetration of wind and PV on power system frequency response," Applied Energy, Elsevier, vol. 145(C), pages 320-330.
    7. Bao, Yi & Xu, Jian & Feng, Wei & Sun, Yuanzhang & Liao, Siyang & Yin, Rongxin & Jiang, Yazhou & Jin, Ming & Marnay, Chris, 2019. "Provision of secondary frequency regulation by coordinated dispatch of industrial loads and thermal power plants," Applied Energy, Elsevier, vol. 241(C), pages 302-312.
    8. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "Incorporating unit commitment aspects to the European electricity markets algorithm: An optimization model for the joint clearing of energy and reserve markets," Applied Energy, Elsevier, vol. 231(C), pages 235-258.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Huaiyuan & Liao, Kai & Yang, Jianwei & Zheng, Shunwei & He, Zhengyou, 2024. "Frequency-constrained expansion planning for wind and photovoltaic power in wind-photovoltaic-hydro-thermal multi-power system," Applied Energy, Elsevier, vol. 356(C).
    2. Qiu, Dawei & Baig, Aimon Mirza & Wang, Yi & Wang, Lingling & Jiang, Chuanwen & Strbac, Goran, 2024. "Market design for ancillary service provisions of inertia and frequency response via virtual power plants: A non-convex bi-level optimisation approach," Applied Energy, Elsevier, vol. 361(C).
    3. Fang, Xin & Cui, Hantao & Du, Ershun & Li, Fangxing & Kang, Chongqing, 2021. "Characteristics of locational uncertainty marginal price for correlated uncertainties of variable renewable generation and demands," Applied Energy, Elsevier, vol. 282(PA).
    4. Sunkyo Kim & Pyeong-Ik Hwang & Jaewan Suh, 2023. "Automatic Generation Control Ancillary Service Cost-Allocation Methods Based on Causer-Pays Principle in Electricity Market," Energies, MDPI, vol. 17(1), pages 1-17, December.
    5. David Rebollal & Mónica Chinchilla & David Santos-Martín & Josep M. Guerrero, 2021. "Endogenous Approach of a Frequency-Constrained Unit Commitment in Islanded Microgrid Systems," Energies, MDPI, vol. 14(19), pages 1-22, October.

    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. Shang-Guan, Xingchen & He, Yong & Zhang, Chuanke & Jiang, Lin & Spencer, Joseph William & Wu, Min, 2020. "Sampled-data based discrete and fast load frequency control for power systems with wind power," Applied Energy, Elsevier, vol. 259(C).
    2. Cabrera-Tobar, Ana & Bullich-Massagué, Eduard & Aragüés-Peñalba, Mònica & Gomis-Bellmunt, Oriol, 2016. "Review of advanced grid requirements for the integration of large scale photovoltaic power plants in the transmission system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 971-987.
    3. 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.
    4. Fernández-Guillamón, Ana & Gómez-Lázaro, Emilio & Muljadi, Eduard & Molina-García, Ángel, 2019. "Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    5. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    6. Zia, Muhammad Fahad & Nasir, Mashood & Elbouchikhi, Elhoussin & Benbouzid, Mohamed & Vasquez, Juan C. & Guerrero, Josep M., 2022. "Energy management system for a hybrid PV-Wind-Tidal-Battery-based islanded DC microgrid: Modeling and experimental validation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    7. Seneviratne, Chinthaka & Ozansoy, C., 2016. "Frequency response due to a large generator loss with the increasing penetration of wind/PV generation – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 659-668.
    8. Zhang, Cong & Greenblatt, Jeffery B. & MacDougall, Pamela & Saxena, Samveg & Jayam Prabhakar, Aditya, 2020. "Quantifying the benefits of electric vehicles on the future electricity grid in the midwestern United States," Applied Energy, Elsevier, vol. 270(C).
    9. Savelli, Iacopo & De Paola, Antonio & Li, Furong, 2020. "Ex-ante dynamic network tariffs for transmission cost recovery," Applied Energy, Elsevier, vol. 258(C).
    10. Mousavizade, Mirsaeed & Bai, Feifei & Garmabdari, Rasoul & Sanjari, Mohammad & Taghizadeh, Foad & Mahmoudian, Ali & Lu, Junwei, 2023. "Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations," Applied Energy, Elsevier, vol. 341(C).
    11. Lu, Renzhi & Bai, Ruichang & Ding, Yuemin & Wei, Min & Jiang, Junhui & Sun, Mingyang & Xiao, Feng & Zhang, Hai-Tao, 2021. "A hybrid deep learning-based online energy management scheme for industrial microgrid," Applied Energy, Elsevier, vol. 304(C).
    12. Allard, Stéphane & Debusschere, Vincent & Mima, Silvana & Quoc, Tuan Tran & Hadjsaid, Nouredine & Criqui, Patrick, 2020. "Considering distribution grids and local flexibilities in the prospective development of the European power system by 2050," Applied Energy, Elsevier, vol. 270(C).
    13. Hirase, Yuko & Abe, Kensho & Sugimoto, Kazushige & Sakimoto, Kenichi & Bevrani, Hassan & Ise, Toshifumi, 2018. "A novel control approach for virtual synchronous generators to suppress frequency and voltage fluctuations in microgrids," Applied Energy, Elsevier, vol. 210(C), pages 699-710.
    14. Tang, Yi & Li, Feng & Chen, Qian & Li, Mengya & Wang, Qi & Ni, Ming & Chen, Gang, 2018. "Frequency prediction method considering demand response aggregate characteristics and control effects," Applied Energy, Elsevier, vol. 229(C), pages 936-944.
    15. Liu, Liuchen & Zhu, Tong & Pan, Yu & Wang, Hai, 2017. "Multiple energy complementation based on distributed energy systems – Case study of Chongming county, China," Applied Energy, Elsevier, vol. 192(C), pages 329-336.
    16. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    17. Li, Yang & Yang, Zhen & Li, Guoqing & Mu, Yunfei & Zhao, Dongbo & Chen, Chen & Shen, Bo, 2018. "Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing," Applied Energy, Elsevier, vol. 232(C), pages 54-68.
    18. Wyman-Pain, Heather & Bian, Yuankai & Thomas, Cain & Li, Furong, 2018. "The economics of different generation technologies for frequency response provision," Applied Energy, Elsevier, vol. 222(C), pages 554-563.
    19. VJ Vijayalakshmi & A Amudha & K Dhayalini & A Prakash, 2024. "A hybrid WFS-CGO based approach for optimal allocation of EV charging spots along with capacitors in smart distribution network for congestion management," Energy & Environment, , vol. 35(4), pages 1673-1702, June.
    20. Lopez, A. & Ogayar, B. & Hernández, J.C. & Sutil, F.S., 2020. "Survey and assessment of technical and economic features for the provision of frequency control services by household-prosumers," Energy Policy, Elsevier, vol. 146(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:appene:v:260:y:2020:i:c:s0306261919320215. 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.