IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v276y2023ics0360544223009647.html
   My bibliography  Save this article

Aggregated large-scale air-conditioning load: Modeling and response capability evaluation of virtual generator units

Author

Listed:
  • Wang, Jingjie
  • Qiu, Rujia
  • Xu, Bin
  • Wu, Hongbin
  • Tang, Longjiang
  • Zhang, Mingxing
  • Ding, Ming

Abstract

In order to address the behavioral characteristics of air conditioning users and help load aggregators avoid high penalties for breach of contract caused by insufficient response capacity, it is essential to develop a practical and effective method for evaluating the response capability of aggregated air conditioning. This paper proposes a method for screening users with similar load characteristics through primary clustering and for conducting secondary clustering of air conditioning with similar adjustable characteristics using the self-organizing map. By aggregating all user devices with similar attributes and adjustable characteristics within a given region, a highly accurate virtual generator unit model is developed for air conditioning loads, with the external characteristic parameters of equivalent generator units calculated. To account for the probability of user dropout due to equipment failure or changes in willingness to respond, a response capability evaluation method for air conditioning virtual generator units is proposed. The results demonstrate that the proposed model can conveniently calculate the response capacity indices of virtual generator units under different task targets, and provide decision-making basis for dispatching centers or load aggregators to regulate their internal loads.

Suggested Citation

  • Wang, Jingjie & Qiu, Rujia & Xu, Bin & Wu, Hongbin & Tang, Longjiang & Zhang, Mingxing & Ding, Ming, 2023. "Aggregated large-scale air-conditioning load: Modeling and response capability evaluation of virtual generator units," Energy, Elsevier, vol. 276(C).
    • Handle: RePEc:eee:energy:v:276:y:2023:i:c:s0360544223009647
    DOI: 10.1016/j.energy.2023.127570
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223009647
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.127570?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. Zhu, Mengshu & Huang, Ying & Wang, Si-Nuo & Zheng, Xinye & Wei, Chu, 2023. "Characteristics and patterns of residential energy consumption for space cooling in China: Evidence from appliance-level data," Energy, Elsevier, vol. 265(C).
    2. Guelpa, Elisa & Marincioni, Ludovica, 2019. "Demand side management in district heating systems by innovative control," Energy, Elsevier, vol. 188(C).
    3. Bahl, Björn & Lampe, Matthias & Voll, Philip & Bardow, André, 2017. "Optimization-based identification and quantification of demand-side management potential for distributed energy supply systems," Energy, Elsevier, vol. 135(C), pages 889-899.
    4. Medrano, Marc & Gil, Antoni & Martorell, Ingrid & Potau, Xavi & Cabeza, Luisa F., 2010. "State of the art on high-temperature thermal energy storage for power generation. Part 2--Case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 56-72, January.
    5. Bomela, Walter & Zlotnik, Anatoly & Li, Jr-Shin, 2018. "A phase model approach for thermostatically controlled load demand response," Applied Energy, Elsevier, vol. 228(C), pages 667-680.
    6. Li, Xinyue & Chen, Shuqin & Li, Hongliang & Lou, Yunxiao & Li, Jiahe, 2023. "A behavior-orientated prediction method for short-term energy consumption of air-conditioning systems in buildings blocks," Energy, Elsevier, vol. 263(PD).
    7. Rama Curiel, José Adrián & Thakur, Jagruti, 2022. "A novel approach for Direct Load Control of residential air conditioners for Demand Side Management in developing regions," Energy, Elsevier, vol. 258(C).
    8. Guelpa, Elisa & Marincioni, Ludovica & Deputato, Stefania & Capone, Martina & Amelio, Stefano & Pochettino, Enrico & Verda, Vittorio, 2019. "Demand side management in district heating networks: A real application," Energy, Elsevier, vol. 182(C), pages 433-442.
    9. Wu, Zhibin & Li, Nianping & Wargocki, Pawel & Peng, Jingqing & Li, Jingming & Cui, Haijiao, 2019. "Field study on thermal comfort and energy saving potential in 11 split air-conditioned office buildings in Changsha, China," Energy, Elsevier, vol. 182(C), pages 471-482.
    10. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "A review of residential demand response of smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 166-178.
    11. Gil, Antoni & Medrano, Marc & Martorell, Ingrid & Lázaro, Ana & Dolado, Pablo & Zalba, Belén & Cabeza, Luisa F., 2010. "State of the art on high temperature thermal energy storage for power generation. Part 1--Concepts, materials and modellization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 31-55, January.
    12. Lankeshwara, Gayan & Sharma, Rahul & Yan, Ruifeng & Saha, Tapan K., 2022. "A hierarchical control scheme for residential air-conditioning loads to provide real-time market services under uncertainties," Energy, Elsevier, vol. 250(C).
    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. Xiong, Yongkang & Zeng, Zhenfeng & Xin, Jianbo & Song, Guanhong & Xia, Yonghong & Xu, Zaide, 2023. "Renewable energy time series regulation strategy considering grid flexible load and N-1 faults," Energy, Elsevier, vol. 284(C).
    2. Liu, Xin & Li, Yang & Wang, Li & Tang, Junbo & Qiu, Haifeng & Berizzi, Alberto & Valentin, Ilea & Gao, Ciwei, 2024. "Dynamic aggregation strategy for a virtual power plant to improve flexible regulation ability," Energy, Elsevier, vol. 297(C).

    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. Rama Curiel, José Adrián & Thakur, Jagruti, 2022. "A novel approach for Direct Load Control of residential air conditioners for Demand Side Management in developing regions," Energy, Elsevier, vol. 258(C).
    2. Dranka, Géremi Gilson & Ferreira, Paula, 2020. "Load flexibility potential across residential, commercial and industrial sectors in Brazil," Energy, Elsevier, vol. 201(C).
    3. Bruch, A. & Molina, S. & Esence, T. & Fourmigué, J.F. & Couturier, R., 2017. "Experimental investigation of cycling behaviour of pilot-scale thermal oil packed-bed thermal storage system," Renewable Energy, Elsevier, vol. 103(C), pages 277-285.
    4. Usaola, Julio, 2012. "Participation of CSP plants in the reserve markets: A new challenge for regulators," Energy Policy, Elsevier, vol. 49(C), pages 562-571.
    5. Rao, A. Gangoli & van den Oudenalder, F.S.C. & Klein, S.A., 2019. "Natural gas displacement by wind curtailment utilization in combined-cycle power plants," Energy, Elsevier, vol. 168(C), pages 477-491.
    6. Alva, Guruprasad & Lin, Yaxue & Fang, Guiyin, 2018. "An overview of thermal energy storage systems," Energy, Elsevier, vol. 144(C), pages 341-378.
    7. Zhao, Yongliang & Song, Jian & Liu, Ming & Zhao, Yao & Olympios, Andreas V. & Sapin, Paul & Yan, Junjie & Markides, Christos N., 2022. "Thermo-economic assessments of pumped-thermal electricity storage systems employing sensible heat storage materials," Renewable Energy, Elsevier, vol. 186(C), pages 431-456.
    8. Miró, Laia & Oró, Eduard & Boer, Dieter & Cabeza, Luisa F., 2015. "Embodied energy in thermal energy storage (TES) systems for high temperature applications," Applied Energy, Elsevier, vol. 137(C), pages 793-799.
    9. Fernández, Angel G. & Gomez-Vidal, Judith & Oró, Eduard & Kruizenga, Alan & Solé, Aran & Cabeza, Luisa F., 2019. "Mainstreaming commercial CSP systems: A technology review," Renewable Energy, Elsevier, vol. 140(C), pages 152-176.
    10. Li, Han & Li, Jinchao & Kong, Xiangfei & Long, Hao & Yang, Hua & Yao, Chengqiang, 2020. "A novel solar thermal system combining with active phase-change material heat storage wall (STS-APHSW): Dynamic model, validation and thermal performance," Energy, Elsevier, vol. 201(C).
    11. Fazlollahi, Samira & Schüler, Nils & Maréchal, François, 2015. "A solid thermal storage model for the optimization of buildings operation strategy," Energy, Elsevier, vol. 88(C), pages 209-222.
    12. Arteconi, A. & Hewitt, N.J. & Polonara, F., 2012. "State of the art of thermal storage for demand-side management," Applied Energy, Elsevier, vol. 93(C), pages 371-389.
    13. Fernández, Ángel G. & Gomez-Vidal, Judith C., 2017. "Thermophysical properties of low cost lithium nitrate salts produced in northern Chile for thermal energy storage," Renewable Energy, Elsevier, vol. 101(C), pages 120-125.
    14. Huang, Shucheng & Khajepour, Amir, 2022. "A new adiabatic compressed air energy storage system based on a novel compression strategy," Energy, Elsevier, vol. 242(C).
    15. Navarro, Lidia & de Gracia, Alvaro & Colclough, Shane & Browne, Maria & McCormack, Sarah J. & Griffiths, Philip & Cabeza, Luisa F., 2016. "Thermal energy storage in building integrated thermal systems: A review. Part 1. active storage systems," Renewable Energy, Elsevier, vol. 88(C), pages 526-547.
    16. Nomura, Takahiro & Zhu, Chunyu & Nan, Sheng & Tabuchi, Kazuki & Wang, Shuangfeng & Akiyama, Tomohiro, 2016. "High thermal conductivity phase change composite with a metal-stabilized carbon-fiber network," Applied Energy, Elsevier, vol. 179(C), pages 1-6.
    17. Capone, Martina & Guelpa, Elisa & Verda, Vittorio, 2021. "Multi-objective optimization of district energy systems with demand response," Energy, Elsevier, vol. 227(C).
    18. Tehrani, S. Saeed Mostafavi & Taylor, Robert A. & Saberi, Pouya & Diarce, Gonzalo, 2016. "Design and feasibility of high temperature shell and tube latent heat thermal energy storage system for solar thermal power plants," Renewable Energy, Elsevier, vol. 96(PA), pages 120-136.
    19. Odenthal, Christian & Steinmann, Wolf-Dieter & Zunft, Stefan, 2020. "Analysis of a horizontal flow closed loop thermal energy storage system in pilot scale for high temperature applications – Part II: Numerical investigation," Applied Energy, Elsevier, vol. 263(C).
    20. Zhao, Weihuan & France, David M. & Yu, Wenhua & Kim, Taeil & Singh, Dileep, 2014. "Phase change material with graphite foam for applications in high-temperature latent heat storage systems of concentrated solar power plants," Renewable Energy, Elsevier, vol. 69(C), pages 134-146.

    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:energy:v:276:y:2023:i:c:s0360544223009647. 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/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.