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Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation

Author

Listed:
  • Amirhossein Sajadi

    (Renewable and Sustainable Energy Institute (RASEI) at the University of Colorado Boulder)

  • Rick Wallace Kenyon

    (Renewable and Sustainable Energy Institute (RASEI) at the University of Colorado Boulder
    Electrical, Computer, and Energy Engineering (ECEE) Department at the University of Colorado Boulder
    Grid Planning and Analysis Center at the National Renewable Energy Laboratory (NREL))

  • Bri-Mathias Hodge

    (Renewable and Sustainable Energy Institute (RASEI) at the University of Colorado Boulder
    Electrical, Computer, and Energy Engineering (ECEE) Department at the University of Colorado Boulder
    Grid Planning and Analysis Center at the National Renewable Energy Laboratory (NREL))

Abstract

The synchronized operation of power generators is the foundation of electric power network stability and a key to the prevention of undesired power outages and blackouts. Here, we derive the conditions that guarantee synchronization in power networks with inherent generator heterogeneity when subjected to small perturbations, and perform a parametric sensitivity analysis to understand synchronization with varied types of generators. As inverter-based resources, which are the primary interfacing technology for many renewable sources of energy, have supplanted synchronous generators in ever growing numbers, the center of attention on associated integration challenges have resided primarily on the role of declining system inertia. Our results instead highlight the critical role of generator damping in achieving a stable state of synchronization. Additionally, we report the feasibility of operating interconnected electric grids with up to 100% power contribution from inverter-based renewable generation technologies. Our study has important implications as it sets the basis for the development of advanced control architectures and grid optimization methods that ensure synchronization and further pave the path towards the decarbonization of the electric power sector.

Suggested Citation

  • Amirhossein Sajadi & Rick Wallace Kenyon & Bri-Mathias Hodge, 2022. "Synchronization in electric power networks with inherent heterogeneity up to 100% inverter-based renewable generation," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30164-3
    DOI: 10.1038/s41467-022-30164-3
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    References listed on IDEAS

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    1. Amirhossein Sajadi & Luka Strezoski & Vladimir Strezoski & Marija Prica & Kenneth A. Loparo, 2019. "Integration of renewable energy systems and challenges for dynamics, control, and automation of electrical power systems," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(1), January.
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    Cited by:

    1. Daniele Linaro & Federico Bizzarri & Davide Giudice & Cosimo Pisani & Giorgio M. Giannuzzi & Samuele Grillo & Angelo M. Brambilla, 2023. "Continuous estimation of power system inertia using convolutional neural networks," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    2. Dluhopolskyi Oleksandr & Kozlovskyi Serhii & Popovskyi Yurii & Popovskyi Taras & Mazur Hennadii & Lutkovska Svitlana & Butenko Vira & Kozlovskyi Andrii, 2023. "Formation of the Model of Sustainable Economic Development of Renewable Energy," Economics, Sciendo, vol. 11(2), pages 51-78, December.

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