IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v382y2025ics0306261924026370.html
   My bibliography  Save this article

Flexible resource security regulating capability for distribution systems: Concept, method, and applications

Author

Listed:
  • Xiao, Jun
  • Li, Chengjin
  • He, Guowei
  • Lv, Zihan
  • Sun, Gang
  • Zhou, Yupeng
  • Liang, Haishen

Abstract

The integration of multiple flexible resources in the distribution system calls for updated security analysis, especially considering flexible resource power regulating. This paper proposes the flexible resource security regulating capability (SRC) for distribution systems. First, the flexible resource SRC is defined as the feasible maximum power regulation amount at a given time within a certain area that meets the system security demand direction and can last longer than the security demand time. Several specific SRCs are proposed, including the node SRC, feeder SRC, available SRC, and priority SRC. The node SRC uniformly quantifies the SRC of different flexible resources. The feeder SRC provides the flexible resource SRC at the feeder level. Second, the calculation methods of the SRCs are presented. Third, the application of SRC is explored, in which a real-time security monitoring, warning, and emergency control method with SRC is proposed. Moreover, the scheme of integrating SRC-related functionalities into the DSCADA and DMS is presented. Finally, the proposed SRCs are verified in the case study. Compared with existing researches, SRC is suitable for security analysis while other metrics are not. SRC can provide better compatibility with diverse flexible resources and faster security emergency control.

Suggested Citation

  • Xiao, Jun & Li, Chengjin & He, Guowei & Lv, Zihan & Sun, Gang & Zhou, Yupeng & Liang, Haishen, 2025. "Flexible resource security regulating capability for distribution systems: Concept, method, and applications," Applied Energy, Elsevier, vol. 382(C).
  • Handle: RePEc:eee:appene:v:382:y:2025:i:c:s0306261924026370
    DOI: 10.1016/j.apenergy.2024.125253
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924026370
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.125253?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. Xiao, Jun & Li, Chengjin & She, Buxin & Jiao, Heng & Wang, Chuanqi & Zhang, Shihao, 2024. "Distribution system security region with energy storage systems," Energy, Elsevier, vol. 313(C).
    2. Rahiminejad, A. & Vahidi, B. & Hejazi, M.A. & Shahrooyan, S., 2016. "Optimal scheduling of dispatchable distributed generation in smart environment with the aim of energy loss minimization," Energy, Elsevier, vol. 116(P1), pages 190-201.
    3. Shayegan-Rad, Ali & Badri, Ali & Zangeneh, Ali, 2017. "Day-ahead scheduling of virtual power plant in joint energy and regulation reserve markets under uncertainties," Energy, Elsevier, vol. 121(C), pages 114-125.
    4. Reddy, S. Surender, 2017. "Optimal scheduling of thermal-wind-solar power system with storage," Renewable Energy, Elsevier, vol. 101(C), pages 1357-1368.
    5. Ji, Haoran & Wang, Chengshan & Li, Peng & Song, Guanyu & Yu, Hao & Wu, Jianzhong, 2019. "Quantified analysis method for operational flexibility of active distribution networks with high penetration of distributed generators," Applied Energy, Elsevier, vol. 239(C), pages 706-714.
    6. Xiao, Jun & Zu, Guoqiang & Wang, Ying & Zhang, Xinsong & Jiang, Xun, 2020. "Model and observation of dispatchable region for flexible distribution network," Applied Energy, Elsevier, vol. 261(C).
    7. Morales-España, Germán & Martínez-Gordón, Rafael & Sijm, Jos, 2022. "Classifying and modelling demand response in power systems," Energy, Elsevier, vol. 242(C).
    8. Zamani, Ali Ghahgharaee & Zakariazadeh, Alireza & Jadid, Shahram, 2016. "Day-ahead resource scheduling of a renewable energy based virtual power plant," Applied Energy, Elsevier, vol. 169(C), pages 324-340.
    9. Das, Choton K. & Bass, Octavian & Kothapalli, Ganesh & Mahmoud, Thair S. & Habibi, Daryoush, 2018. "Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1205-1230.
    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. Anubhav Kumar Pandey & Vinay Kumar Jadoun & Jayalakshmi N. Sabhahit, 2022. "Real-Time Peak Valley Pricing Based Multi-Objective Optimal Scheduling of a Virtual Power Plant Considering Renewable Resources," Energies, MDPI, vol. 15(16), pages 1-30, August.
    2. Jordehi, A. Rezaee, 2018. "How to deal with uncertainties in electric power systems? A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 145-155.
    3. Mohammad Mohammadi Roozbehani & Ehsan Heydarian-Forushani & Saeed Hasanzadeh & Seifeddine Ben Elghali, 2022. "Virtual Power Plant Operational Strategies: Models, Markets, Optimization, Challenges, and Opportunities," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    4. Naval, Natalia & Yusta, Jose M., 2021. "Virtual power plant models and electricity markets - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    5. Jingjing Luo & Yajing Gao & Wenhai Yang & Yongchun Yang & Zheng Zhao & Shiyu Tian, 2018. "Optimal Operation Modes of Virtual Power Plants Based on Typical Scenarios Considering Output Evaluation Criteria," Energies, MDPI, vol. 11(10), pages 1-22, October.
    6. Xiao, Jun & Li, Chengjin & She, Buxin & Jiao, Heng & Wang, Chuanqi & Zhang, Shihao, 2024. "Distribution system security region with energy storage systems," Energy, Elsevier, vol. 313(C).
    7. Jiao, Heng & Xiao, Jun & Zu, Guoqiang & Song, Chenhui & Lv, Zihan & Bao, Zhenyu & Qiu, Zekai, 2024. "Concavity-convexity of distribution system security region. Part II: Mathematical principle, judgment, and application," Applied Energy, Elsevier, vol. 361(C).
    8. Zhou, Yizhou & Wei, Zhinong & Sun, Guoqiang & Cheung, Kwok W. & Zang, Haixiang & Chen, Sheng, 2018. "A robust optimization approach for integrated community energy system in energy and ancillary service markets," Energy, Elsevier, vol. 148(C), pages 1-15.
    9. Zhang, Shida & Ge, Shaoyun & Liu, Hong & Zhao, Bo & Ni, Chouwei & Hou, Guocheng & Wang, Chengshan, 2024. "Region-based flexibility quantification in distribution systems: An analytical approach considering spatio-temporal coupling," Applied Energy, Elsevier, vol. 355(C).
    10. Virgilio Alfonso Murillo Rodríguez & Noé Villa Villaseñor & José Manuel Robles Solís & Omar Alejandro Guirette Barbosa, 2023. "Impact of Automation on Enhancing Energy Quality in Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 16(17), pages 1-25, August.
    11. Fan, Wei & Tan, Zhongfu & Li, Fanqi & Zhang, Amin & Ju, Liwei & Wang, Yuwei & De, Gejirifu, 2023. "A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response," Energy, Elsevier, vol. 263(PC).
    12. Sampath Kumar Venkatachary & Jagdish Prasad & Ravi Samikannu & Annamalai Alagappan & Leo John Baptist & Raymon Antony Raj, 2020. "Macro Economics of Virtual Power Plant for Rural Areas of Botswana," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 196-207.
    13. Mousavi, Navid & Kothapalli, Ganesh & Habibi, Daryoush & Das, Choton K. & Baniasadi, Ali, 2020. "A novel photovoltaic-pumped hydro storage microgrid applicable to rural areas," Applied Energy, Elsevier, vol. 262(C).
    14. Ahmed, R. & Sreeram, V. & Mishra, Y. & Arif, M.D., 2020. "A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    15. Reza Nadimi & Masahito Takahashi & Koji Tokimatsu & Mika Goto, 2024. "The Reliability and Profitability of Virtual Power Plant with Short-Term Power Market Trading and Non-Spinning Reserve Diesel Generator," Energies, MDPI, vol. 17(9), pages 1-19, April.
    16. Aruna Kanagaraj & Kumudini Devi Raguru Pandu, 2020. "Investigations of Various Market Models in a Deregulated Power Environment Using ACOPF," Energies, MDPI, vol. 13(9), pages 1-17, May.
    17. Sakthivel, V.P. & Thirumal, K. & Sathya, P.D., 2022. "Short term scheduling of hydrothermal power systems with photovoltaic and pumped storage plants using quasi-oppositional turbulent water flow optimization," Renewable Energy, Elsevier, vol. 191(C), pages 459-492.
    18. Ghosh, Sourav & Yadav, Sarita & Devi, Ambika & Thomas, Tiju, 2022. "Techno-economic understanding of Indian energy-storage market: A perspective on green materials-based supercapacitor technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    19. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    20. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Optimal sequencing of elements activation in 1-out-of-n warm standby system with storage," Reliability Engineering and System Safety, Elsevier, vol. 221(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:382:y:2025:i:c:s0306261924026370. 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.