IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v375y2024ics0306261924014855.html
   My bibliography  Save this article

Distributed optimal power management for smart homes in microgrids with network and communication constraints

Author

Listed:
  • Kang, Wenfa
  • Liao, Jianquan
  • Chen, Minyou
  • Sun, Kai
  • Tavner, Peter J.
  • Guerrero, Josep M.

Abstract

A distributed resilient event-triggered economic power dispatching problem (EPD) for multiple smart homes in microgrids considering network constraints is studied in this paper. To address the EPD, a privacy-aware distributed weighted optimization algorithm (DWOA) with a dynamic event-triggered communication mechanism that avoids Zeno behavior is proposed. Through Lagrangian optimality analysis, the EPD problem, initially constrained by network constraints, is transformed into an unconstrained problem by incorporating global coupling multipliers. Subsequently, a distributed calculation strategy of global coupling multipliers is designed. Moreover, a distributed resilient optimization strategy and communication strategy are designed to solve the EPD when communication links are threatened by denial of service (DoS) cyber-attacks. Furthermore, predictive information is utilized to adjust the eigenvalues of weighted control matrix aiming at enhancing the resilience to DoS attacks. To, therefore, investigate the convergence and optimality of the proposed optimization algorithms, four theorems are proposed, which show that the EPD can be solved when the network constraints as well as DoS attacks are considered. Simulation results show that the proposed DWOA solves the EPD with reduced communications for ideal links, even if network constraints are considered. For the case of DoS attacks, the proposed resilient DWOA can also solve the EPD as long as the attack frequency and duration are within the limits.

Suggested Citation

  • Kang, Wenfa & Liao, Jianquan & Chen, Minyou & Sun, Kai & Tavner, Peter J. & Guerrero, Josep M., 2024. "Distributed optimal power management for smart homes in microgrids with network and communication constraints," Applied Energy, Elsevier, vol. 375(C).
    • Handle: RePEc:eee:appene:v:375:y:2024:i:c:s0306261924014855
    DOI: 10.1016/j.apenergy.2024.124102
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924014855
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.124102?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. Du, Dajun & Zhu, Minggao & Wu, Dakui & Li, Xue & Fei, Minrui & Hu, Yukun & Li, Kang, 2024. "Distributed security state estimation-based carbon emissions and economic cost analysis for cyber–physical power systems under hybrid attacks," Applied Energy, Elsevier, vol. 353(PA).
    2. Lin, Wen-Ting & Chen, Guo & Zhou, Xiaojun, 2022. "Distributed carbon-aware energy trading of virtual power plant under denial of service attacks: A passivity-based neurodynamic approach," Energy, Elsevier, vol. 257(C).
    3. Liu, Guodong & Jiang, Tao & Ollis, Thomas B. & Zhang, Xiaohu & Tomsovic, Kevin, 2019. "Distributed energy management for community microgrids considering network operational constraints and building thermal dynamics," Applied Energy, Elsevier, vol. 239(C), pages 83-95.
    4. Li, Zepeng & Wu, Qiuwei & Li, Hui & Nie, Chengkai & Tan, Jin, 2024. "Distributed low-carbon economic dispatch of integrated power and transportation system," Applied Energy, Elsevier, vol. 353(PA).
    5. Li-Ning Liu & Guang-Hong Yang, 2024. "Distributed energy resource coordination for a microgrid over unreliable communication network with doS attacks," International Journal of Systems Science, Taylor & Francis Journals, vol. 55(2), pages 237-252, January.
    6. Ding, Shixing & Gu, Wei & Lu, Shuai & Yu, Ruizhi & Sheng, Lina, 2022. "Cyber-attack against heating system in integrated energy systems: Model and propagation mechanism," Applied Energy, Elsevier, vol. 311(C).
    7. Huang, Lei & Sun, Wei & Li, Qiyue & Li, Weitao, 2023. "Distributed real-time economic dispatch for islanded microgrids with dynamic power demand," Applied Energy, Elsevier, vol. 342(C).
    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. Ingrid Hopley & Mehrdad Ghahramani & Asma Aziz, 2024. "Techno-Economic Factors Impacting the Intrinsic Value of Behind-the-Meter Distributed Storage," Sustainability, MDPI, vol. 16(23), pages 1-26, November.
    2. Guodong Liu & Maximiliano F. Ferrari & Thomas B. Ollis & Kevin Tomsovic, 2022. "An MILP-Based Distributed Energy Management for Coordination of Networked Microgrids," Energies, MDPI, vol. 15(19), pages 1-20, September.
    3. Zheng, Ling & Zhou, Bin & Cao, Yijia & Wing Or, Siu & Li, Yong & Wing Chan, Ka, 2022. "Hierarchical distributed multi-energy demand response for coordinated operation of building clusters," Applied Energy, Elsevier, vol. 308(C).
    4. Lau, Jat-Syu & Jiang, Yihuo & Li, Ziyuan & Qian, Qian, 2023. "Stochastic trading of storage systems in short term electricity markets considering intraday demand response market," Energy, Elsevier, vol. 280(C).
    5. Wang, Cheng & Liu, Chuang & Lin, Yuzhang & Bi, Tianshu, 2020. "Day-ahead dispatch of integrated electric-heat systems considering weather-parameter-driven residential thermal demands," Energy, Elsevier, vol. 203(C).
    6. Stennikov, Valery & Barakhtenko, Evgeny & Mayorov, Gleb & Sokolov, Dmitry & Zhou, Bin, 2022. "Coordinated management of centralized and distributed generation in an integrated energy system using a multi-agent approach," Applied Energy, Elsevier, vol. 309(C).
    7. Guodong Liu & Maximiliano F. Ferrari & Thomas B. Ollis & Aditya Sundararajan & Mohammed Olama & Yang Chen, 2023. "Distributed Energy Management for Networked Microgrids with Hardware-in-the-Loop Validation," Energies, MDPI, vol. 16(7), pages 1-27, March.
    8. Luis Gomes & Filipe Sousa & Tiago Pinto & Zita Vale, 2019. "A Residential House Comparative Case Study Using Market Available Smart Plugs and EnAPlugs with Shared Knowledge," Energies, MDPI, vol. 12(9), pages 1-15, April.
    9. Meng, Lingzhuochao & Yang, Xiyun & Zhu, Jiang & Wang, Xinzhe & Meng, Xin, 2024. "Network partition and distributed voltage coordination control strategy of active distribution network system considering photovoltaic uncertainty," Applied Energy, Elsevier, vol. 362(C).
    10. Meena, Nand K. & Yang, Jin & Zacharis, Evan, 2019. "Optimisation framework for the design and operation of open-market urban and remote community microgrids," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    11. Shaohao Xie & Fangguo Zhang & Huizhi Lin & Yangtong Tian, 2019. "A New Secure and Anonymous Metering Scheme for Smart Grid Communications," Energies, MDPI, vol. 12(24), pages 1-16, December.
    12. Huang, Lei & Sun, Wei & Li, Qiyue & Mu, Daoming & Li, Weitao, 2024. "A two-layer energy management for islanded microgrid based on inverse reinforcement learning and distributed ADMM," Energy, Elsevier, vol. 301(C).
    13. Liu, Ke & Liu, Yanli, 2024. "Incentive-willingness-decision framework: Unit discharge triangle-based maximum stable V2G capability evaluation," Applied Energy, Elsevier, vol. 374(C).
    14. Tan, Jin & Wu, Qiuwei & Hu, Qinran & Wei, Wei & Liu, Feng, 2020. "Adaptive robust energy and reserve co-optimization of integrated electricity and heating system considering wind uncertainty," Applied Energy, Elsevier, vol. 260(C).
    15. Gržanić, M. & Capuder, T. & Zhang, N. & Huang, W., 2022. "Prosumers as active market participants: A systematic review of evolution of opportunities, models and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    16. Lin, Wei & Jin, Xiaolong & Jia, Hongjie & Mu, Yunfei & Xu, Tao & Xu, Xiandong & Yu, Xiaodan, 2021. "Decentralized optimal scheduling for integrated community energy system via consensus-based alternating direction method of multipliers," Applied Energy, Elsevier, vol. 302(C).
    17. Wang, Zheng & Li, Chaojie & Zhou, Xiaojun & Xie, Renyou & Li, Xiangyu & Dong, Zhaoyang, 2023. "Stochastic bidding for VPPs enabled ancillary services: A case study," Applied Energy, Elsevier, vol. 352(C).
    18. Norbu, Sonam & Couraud, Benoit & Robu, Valentin & Andoni, Merlinda & Flynn, David, 2021. "Modelling the redistribution of benefits from joint investments in community energy projects," Applied Energy, Elsevier, vol. 287(C).
    19. Xie, Haonan & Ahmad, Tanveer & Zhang, Dongdong & Goh, Hui Hwang & Wu, Thomas, 2024. "Community-based virtual power plants’ technology and circular economy models in the energy sector: A Techno-economy study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    20. Zhao, Kaifang & Qiu, Kai & Yan, Jian & Shaker, Mir Pasha, 2023. "Technical and economic operation of VPPs based on competitive bi–level negotiations," Energy, Elsevier, vol. 282(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:375:y:2024:i:c:s0306261924014855. 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.