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Distributed Resilient Finite-Time Secondary Control for Heterogeneous BESSs

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Distributed Control and Optimization of Networked Microgrids

Part of the book series: Power Systems ((POWSYS))

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Abstract

This chapter addresses the problem of distributed resilient finite-time control of multiple heterogeneous battery energy storage systems (BESSs) in a microgrid subject to denial of service (DoS) attacks. Notice that, DoS attacks may block information transmission among BESSs by preventing the BESS from sending data, compromising the devices and jamming a communication network.

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References

  1. J. Khazaei, Z. Miao, Consensus control for energy storage systems. IEEE Trans. Smart Grid 9(4), 3009–3017 (2018)

    Article  Google Scholar 

  2. Q. Yu, R. Xiong, C. Lin, W. Shen, J. Deng, Lithium-ion battery parameters and state-of-charge joint estimation based on h-infinity and unscented kalman filters. IEEE Trans. Veh. Technol. 66(10), 8693–8701 (2017)

    Article  Google Scholar 

  3. F. Chen, M. Chen, Q. Li, K. Meng, Y. Zheng, J.M. Guerrero, D. Abbott, Cost-based droop schemes for economic dispatch in islanded microgrids. IEEE Trans. Smart Grid 8(1), 63–74 (2017)

    Article  Google Scholar 

  4. G. He, Q. Chen, C. Kang, P. Pinson, Q. Xia, Optimal bidding strategy of battery storage in power markets considering performance-based regulation and battery cycle life. IEEE Trans. Smart Grid 7(5), 2359–2367 (2016)

    Article  Google Scholar 

  5. D.H. Nguyen, J. Khazaei, Multiagent time-delayed fast consensus design for distributed battery energy storage systems. IEEE Trans. Sustain. Energy 9(3), 1397–1406 (2018)

    Article  Google Scholar 

  6. J. Khazaei, D.H. Nguyen, Multi-agent consensus design for heterogeneous energy storage devices with droop control in smart grids. IEEE Trans. Smart Grid 10(2), 1395–1404 (2019)

    Article  Google Scholar 

  7. T. Morstyn, B. Hredzak, V.G. Agelidis, Cooperative multi-agent control of heterogeneous storage devices distributed in a DC microgrid. IEEE Trans. Power Syst. 31(4), 2974–2986 (2016)

    Article  Google Scholar 

  8. J. Hu, A. Lanzon, Distributed finite-time consensus control for heterogeneous battery energy storage systems in droop-controlled microgrids. IEEE Trans. Smart Grid 10(5), 4751–4761 (2019)

    Article  Google Scholar 

  9. C. Peng, H. Sun, M. Yang, Y.-L. Wang, A survey on security communication and control for smart grids under malicious cyber attacks. IEEE Trans. Syst. Man Cybern. Syst. 49(8), 1554–1569 (2019)

    Article  Google Scholar 

  10. R. Olfati-Saber, R. Murray, Consensus problems in networks of agents with switching topology and time-delays. IEEE Trans. Autom. Control 49(9), 1520–1533 (2004)

    Article  MathSciNet  Google Scholar 

  11. J. Qi, A. Hahn, X. Lu, J. Wang, C.-C. Liu, Cybersecurity for distributed energy resources and smart inverters. IET Cyber-Phys. Syst.: Theory Appl. 1(1), 28–39 (2016)

    Google Scholar 

  12. T. Cruz, L. Rosa, J. Proença, L. Maglaras, M. Aubigny, L. Lev, J. Jiang, P. Simoes, A cybersecurity detection framework for supervisory control and data acquisition systems. IEEE Trans. Ind. Inform. 12(6), 2236–2246 (2016)

    Article  Google Scholar 

  13. A. Majdandzic, B. Podobnik, S.V. Buldyrev, D.Y. Kenett, S. Havlin, H.E. Stanley, Spontaneous recovery in dynamical networks. Nat. Phys. 10(1), 34 (2014)

    Article  Google Scholar 

  14. M.A. Di Muro, C.E. La Rocca, H. Stanley, S. Havlin, L.A. Braunstein, Recovery of interdependent networks. Sci. Rep. 6, 22834 (2016)

    Article  Google Scholar 

  15. Y. Shang, Localized recovery of complex networks against failure. Sci. Rep. 6, 30521 (2016)

    Article  Google Scholar 

  16. T. Morstyn, B. Hredzak, V.G. Agelidis, Distributed cooperative control of microgrid storage. IEEE Trans. Power Syst. 30(5), 2780–2789 (2015)

    Article  Google Scholar 

  17. P. Yi, Y. Hong, F. Liu, Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems. Automatica 74, 259–269 (2016)

    Article  MathSciNet  Google Scholar 

  18. L. Ding, Q.-L. Han, B. Ning, D. Yue, Distributed resilient finite-time secondary control for heterogeneous battery energy storage systems under denial of service attacks. IEEE Trans. Ind. Inform. 16(7), 4909–4919 (2020)

    Article  Google Scholar 

  19. X. Lu, X. Yu, J. Lai, J.M. Guerrero, H. Zhou, Distributed secondary voltage and frequency control for islanded microgrids with uncertain communication links. IEEE Trans. Ind. Inform. 13(2), 448–460 (2017)

    Article  Google Scholar 

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Authors and Affiliations

  1. Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China

    Lei Ding

  2. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

    Qing-Long Han

  3. Swinburne University of Technology, Melbourne, VIC, Australia

    Boda Ning

Authors
  1. Lei Ding
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  2. Qing-Long Han
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  3. Boda Ning
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Correspondence to Lei Ding .

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Ding, L., Han, QL., Ning, B. (2022). Distributed Resilient Finite-Time Secondary Control for Heterogeneous BESSs. In: Distributed Control and Optimization of Networked Microgrids. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-95029-3_6

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  • DOI: https://doi.org/10.1007/978-3-030-95029-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-95028-6

  • Online ISBN: 978-3-030-95029-3

  • eBook Packages: EngineeringEngineering (R0)

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