IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v322y2022ics0306261922008558.html
   My bibliography  Save this article

Quantized memory proportional–integral control of active power sharing and frequency regulation in island microgrid under abnormal cyber attacks

Author

Listed:
  • Shi, Kaibo
  • Cai, Xiao
  • She, Kun
  • Zhong, Shouming
  • Soh, YengChai
  • Kwon, OhMin

Abstract

This paper proposes a quantized memory proportional–integral (QMPI) control scheme to study the active power-sharing and frequency regulation (PSFR) issues of island Micro-Grids (MGs) under abnormal asynchronous stochastic cyber attacks (AASCAs). First, AASCAs are considered, which reflected the randomness and asynchrony of the attacks employed by hackers. Second, a novel relaxed condition that depends on the time delay (TD) is constructed, thereby reducing the usual constraint condition. Then, using the reciprocal convex matrix inequality (RCMI), some appropriate integral inequalities are used to process the integral terms to obtain a tighter upper bound. Next, based on Lyapunov–Krasovskii functional (LKF) method, a new QMPI controller under AASCAs is designed to ensure active PSFR in MGs. Finally, two kinds of experiments and simulations are carried out on the improved IEEE 34 bus test system to verify the performance of the control algorithm proposed in this paper.

Suggested Citation

  • Shi, Kaibo & Cai, Xiao & She, Kun & Zhong, Shouming & Soh, YengChai & Kwon, OhMin, 2022. "Quantized memory proportional–integral control of active power sharing and frequency regulation in island microgrid under abnormal cyber attacks," Applied Energy, Elsevier, vol. 322(C).
  • Handle: RePEc:eee:appene:v:322:y:2022:i:c:s0306261922008558
    DOI: 10.1016/j.apenergy.2022.119540
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922008558
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2022.119540?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. Shi, Ye & Tuan, Hoang Duong & Savkin, Andrey V. & Lin, Chin-Teng & Zhu, Jian Guo & Poor, H. Vincent, 2021. "Distributed model predictive control for joint coordination of demand response and optimal power flow with renewables in smart grid," Applied Energy, Elsevier, vol. 290(C).
    2. Cai, Xiao & Shi, Kaibo & She, Kun & Zhong, Shouming & Kwon, Ohmin & Tang, Yiqian, 2022. "Voluntary defense strategy and quantized sample-data control for T-S fuzzy networked control systems with stochastic cyber-attacks and its application," Applied Mathematics and Computation, Elsevier, vol. 423(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. Can Zhao & Kaibo Shi & Yiqian Tang & Shouming Zhong, 2022. "A New Slack Lyapunov Functional for Dynamical System with Time Delay," Mathematics, MDPI, vol. 10(23), pages 1-11, November.
    2. Zhang, Yonghong & Li, Shouwei & Li, Jingwei & Tang, Xiaoyu, 2022. "A time power-based grey model with Caputo fractional derivative and its application to the prediction of renewable energy consumption," Chaos, Solitons & Fractals, Elsevier, vol. 164(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. Zhu, Xingxu & Hou, Xiangchen & Li, Junhui & Yan, Gangui & Li, Cuiping & Wang, Dongbo, 2023. "Distributed online prediction optimization algorithm for distributed energy resources considering the multi-periods optimal operation," Applied Energy, Elsevier, vol. 348(C).
    2. Zhu, Zheli & Guan, Guanghua & Wang, Kang, 2023. "Distributed model predictive control based on the alternating direction method of multipliers for branching open canal irrigation systems," Agricultural Water Management, Elsevier, vol. 285(C).
    3. 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).
    4. Hu, Yue & Kwon, Oh-Min & Cai, Chenxiao & Kim, Yeong-Jae, 2024. "Output feedback H∞ control for discrete time singularly perturbed systems with Markov lossy network: The round-robin-like protocol case," Applied Mathematics and Computation, Elsevier, vol. 462(C).
    5. Phani Raghav, L. & Seshu Kumar, R. & Koteswara Raju, D. & Singh, Arvind R., 2022. "Analytic Hierarchy Process (AHP) – Swarm intelligence based flexible demand response management of grid-connected microgrid," Applied Energy, Elsevier, vol. 306(PB).
    6. Fatima Zahra Zahraoui & Mehdi Et-taoussi & Houssam Eddine Chakir & Hamid Ouadi & Brahim Elbhiri, 2023. "Bellman–Genetic Hybrid Algorithm Optimization in Rural Area Microgrids," Energies, MDPI, vol. 16(19), pages 1-26, September.
    7. Hejun Yao & Fangzheng Gao, 2022. "Design of Observer and Dynamic Output Feedback Control for Fuzzy Networked Systems," Mathematics, MDPI, vol. 11(1), pages 1-13, December.
    8. Wang, Y.X. & Chen, J.J. & Zhao, Y.L. & Xu, B.Y., 2024. "Incorporate robust optimization and demand defense for optimal planning of shared rental energy storage in multi-user industrial park," Energy, Elsevier, vol. 301(C).
    9. Wang, Yihan & Wen, Zongguo & Cao, Xin & Dinga, Christian Doh, 2022. "Is information and communications technology effective for industrial energy conservation and emission reduction? Evidence from three energy-intensive industries in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    10. Li, Li & Dong, Mi & Song, Dongran & Yang, Jian & Wang, Qibing, 2022. "Distributed and real-time economic dispatch strategy for an islanded microgrid with fair participation of thermostatically controlled loads," Energy, Elsevier, vol. 261(PB).
    11. Utama, Christian & Meske, Christian & Schneider, Johannes & Ulbrich, Carolin, 2022. "Reactive power control in photovoltaic systems through (explainable) artificial intelligence," Applied Energy, Elsevier, vol. 328(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:322:y:2022:i:c:s0306261922008558. 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.