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Dynamic Security Assessment of Low-inertia Microgrids Based on the Concept of Virtual Inertia Control

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Renewable Power Systems Dynamic Security

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

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Abstract

Renewable energy sources (RESs) are growing rapidly and highly penetrated in microgrids (μGs). However, there are some impacts resulting from integrating RESs such as power fluctuations caused by the intermittent nature of RESs, and lack of system inertia resulting from replacement of synchronous generators with RESs. Hence, in order to cope with this challenge and benefit from a maximum capacity of the RESs, this chapter presents a new frequency control strategy based on a virtual inertia control to emulate virtual inertia into the μG control loop, thus stabilizing μG frequency during high penetration of RESs. Moreover, the proposed virtual inertia control system based on an optimal proportional–integral (PI) controller is coordinated with digital over/underfrequency relay to improve the frequency stability and maintain the dynamic security of the μG considering high penetration of RESs. The studied system simulation results are conducted using MATLAB/Simulink® software to validate the efficacy of the proposed coordination scheme. Results endorsed that the proposed coordination scheme can efficiently regulate the μG frequency and ensure robust performance to maintain the dynamic security of μG with high penetration of RESs for various contingencies.

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References

  1. H. Bevrani, M. Watanabe, Y. Mitani, Power system monitoring and control (John Wiley & Sons, Hoboken, NJ, 2014)

    Google Scholar 

  2. E. Rakhshani, D. Remon, A.M. Cantarellas, P. Rodriguez, Analysis of derivative control based virtual inertia in multi-area high-voltage direct current interconnected power systems. IET Gener. Transm. Distrib. 10(6), 1458–1469 (2016)

    Google Scholar 

  3. S. Teimourzadeh, F. Aminifar, M. Davarpanah, Microgrid dynamic security: challenges, solutions and key considerations. Electr. J. 30(4), 43–51 (2017)

    Google Scholar 

  4. H. Bevrani, Robust power system frequency control (Springer, New York, 2014)

    MATH  Google Scholar 

  5. H. Bevrani, B. Francois, T. Ise, Microgrid dynamics and control (John Wiley& Sons, Hoboken, NJ, 2017)

    Google Scholar 

  6. T. Kerdphol, F.S. Rahman, Y. Mitani, M. Watanabe, S. Küfeoǧlu, Robust virtual inertia control of an islanded microgrid considering high penetration of renewable energy. IEEE Access 6, 625–636 (2017)

    Google Scholar 

  7. T. Kerdphol, F.S. Rahman, Y. Mitani, K. Hongesombut, S. Küfeoğlu, Virtual inertia control-based model predictive control for microgrid frequency stabilization considering high renewable energy. Sustainability 9(5), 1–21 (2017)

    Google Scholar 

  8. R. Yan, T.K. Saha, Frequency response estimation method for high wind penetration considering wind turbine frequency support functions’. IET Renew. Power Gener. 9(7), 775–782 (2015)

    Google Scholar 

  9. G. Shabib, E. Abd-Elhameed, G. Magdy, Plant input mapping digital redesign of a PID controller for a power system damping, in 3rd International Conference on Energy Systems and Technologies, Cairo, Egypt (2015).

    Google Scholar 

  10. H.M. Hasanien, Whale optimisation algorithm for automatic generation control of interconnected modern power systems including renewable energy sources. IET Gener. Transm. Distrib. 12(3), 607–614 (2018)

    Google Scholar 

  11. H. Bevrani, T. Ise, Y. Miurab, Virtual synchronous generators: a survey and new perspectives. Int. J. Elec. Power. 54, 244–254 (2014)

    Google Scholar 

  12. S. Kunsman, S. Meier, R. Hedding, Protection and control system impacts from The Digital World, in 2016 69th Annual Conference for Protective Relay Engineers (CPRE), College Station, TX, USA (2016).

    Google Scholar 

  13. E. Sortomme, G.J. Mapes, B.A. Foster, S.S. Venkata, Fault analysis and protection of a microgrid, in 2008 40th North American Power Symposium, Calgary, AB, Canada, (2008)

    Google Scholar 

  14. S. Sheng, K.K. Li, W.L. Chan, X. Zeng, D. Shi, X. Duan, Adaptive agent-based wide-area current differential protection system. IEEE Trans. Ind. Appl. 46(5), 2111–2117 (2010)

    Google Scholar 

  15. J.A. Laghari, H. Mokhlis, A.H.A. Bakar, H. Mohamad, Application of computational intelligence techniques for load shedding in power systems: a review. Energ. Conver. Manage. 75, 130–140 (2013)

    Google Scholar 

  16. N. Tephiruk, K. Hongesombut, Y. Urathamakul, S. Poonvasin, S. Tangsatit, Modeling of rate of change of under frequency relay for microgrid protection, in 2017 International Electrical Engineering Congress (iEECON), Pattaya, Thailand (2017).

    Google Scholar 

  17. J. Vieira, W. Freitas, W. Xu, A. Morelato, Efficient coordination of ROCOF and frequency relays for distributed generation protection by using the application region. IEEE Trans. Power Del. 21(4), 1878–1884 (2006)

    Google Scholar 

  18. G. Magdy, G. Shabib, A.A. Elbaset, Y. Mitani, A novel coordination scheme of virtual inertia control and digital protection for microgrid dynamic security considering high renewable energy penetration. IET Renew. Power Gener. 13(3), 462–474 (2019)

    Google Scholar 

  19. T. Kerdphol, F.S. Rahman, Y. Mitani, Virtual inertia control application to enhance frequency stability of interconnected power systems with high renewable energy penetration. Energies 11(4), 1–16 (2018)

    Google Scholar 

  20. K. Mentesidi, R. Garde, M. Aguado, E. Rikos, Implementation of a fuzzy logic controller for virtual inertia emulation, in 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST), Vienna, Austria, (2015)

    Google Scholar 

  21. Y. Hu, W. Wei, Y. Peng, J. Lei, Fuzzy virtual inertia control for virtual synchronous generator, in 2016 35th Chinese Control Conference (CCC), Chengdu, China, (2016)

    Google Scholar 

  22. P.F. Frack, P.E. Mercado, M.G. Molina, Extending the VISMA concept to improve the frequency stability in Microgrids, in 2015 18th International Conference on Intelligent System Application to Power Systems (ISAP), Porto, Portugal (2015).

    Google Scholar 

  23. F. Gonzalez-Longatt, E. Chikuni, E. Rashayi, Effects of the Synthetic Inertia from wind power on the total system inertia after a frequency disturbance, in 2013 IEEE International Conference on Industrial Technology (ICIT), Cape Town, South Africa (2013).

    Google Scholar 

  24. W. Freitas, W. Xu, C. Affonso, Z. Huang, Comparative analysis between ROCOF and vector surge relays for distributed generation applications. IEEE Trans. Power Del. 20(2), 1315–1324 (2005)

    Google Scholar 

  25. M.H. Khooban, T. Niknam, F. Blaabjerg, T. Dragičević, A new load frequency control strategy for micro-grids with considering electrical vehicles. Electr. Pow. Syst. Res. 143, 585–598 (2017)

    Google Scholar 

  26. J. Kennedy, R. Eberhart, Particle swarm optimization, in Proceedings of ICNN’95—International Conference on Neural Networks, Perth, WA, Australia (1995).

    Google Scholar 

  27. T. Kerdphol, Y. Qudaih, Y. Mitani, Optimum battery energy storage system using PSO considering dynamic demand for microgrids. Int. J. Elec. Power. 83, 58–66 (2016)

    Google Scholar 

  28. K.H. Ang, G. Chong, Y. Li, PID control system analysis, design, and technology. IEEE Trans. Control Syst. Technol. 13(4), 559–576 (2005)

    Google Scholar 

  29. Z.-L. Gaing, A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Trans. Energy Convers. 19(2), 384–391 (2004)

    Google Scholar 

  30. Australian Energy Market Commission (AEMC), Reliability and Panel, Application of frequency operation standards during periods of supply scarcity, Final Determination, Sydney, Australia (2009).

    Google Scholar 

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Magdy, G., Shabib, G., Elbaset, A.A., Mitani, Y. (2020). Dynamic Security Assessment of Low-inertia Microgrids Based on the Concept of Virtual Inertia Control. In: Renewable Power Systems Dynamic Security. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-33455-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-33455-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33454-3

  • Online ISBN: 978-3-030-33455-0

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