On the steady-state behavior of low-inertia power systems

Authors

Abstract

Whereas conventional power systems heavily rely on bulk generation by synchronous machines, future power systems will be comprised of distributed generation based on renewable sources interfaced by power electronics. A direct consequence of retiring synchronous generators is the loss of rotational inertia, which thus far was the dominant time constant in a power system, as well as the loss of the generator controls, which are the main source of actuation of the power grid. Prompted by these paradigm shifts, we study the dynamic behavior of a nonlinear and first-principle low-inertia power system model including detailed power converter models and their interactions with the power grid. In this paper, we focus particularly on the admissible steady-state behavior of such a low-inertia power grid and derive necessary and sufficient control specifications for power converters.

Keywords

power system dynamics; steady-state behavior; port-Hamiltonian systems

Citation

Journal: IFAC-PapersOnLine
Year: 2017
Volume: 50
Issue: 1
Pages: 10735–10741
Publisher: Elsevier BV
DOI: 10.1016/j.ifacol.2017.08.2264
Note: 20th IFAC World Congress

BibTeX

@article{Gro__2017,
  title={{On the steady-state behavior of low-inertia power systems}},
  volume={50},
  ISSN={2405-8963},
  DOI={10.1016/j.ifacol.2017.08.2264},
  number={1},
  journal={IFAC-PapersOnLine},
  publisher={Elsevier BV},
  author={Groß, Dominic and Dörfler, Florian},
  year={2017},
  pages={10735--10741}
}

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References

Caliskan, S. Y. & Tabuada, P. Compositional Transient Stability Analysis of Multimachine Power Networks. IEEE Transactions on Control of Network Systems vol. 1 4–14 (2014) – 10.1109/tcns.2014.2304868
Caliskan, S. Y. & Tabuada, P. Uses and abuses of the swing equation model. 2015 54th IEEE Conference on Decision and Control (CDC) 6662–6667 (2015) doi:10.1109/cdc.2015.7403268 – 10.1109/cdc.2015.7403268
D’Arco, S. & Suul, J. A. Virtual synchronous machines — Classification of implementations and analysis of equivalence to droop controllers for microgrids. 2013 IEEE Grenoble Conference (2013) doi:10.1109/ptc.2013.6652456 – 10.1109/ptc.2013.6652456
Dorfler, F., Simpson-Porco, J. W. & Bullo, F. Breaking the Hierarchy: Distributed Control and Economic Optimality in Microgrids. IEEE Transactions on Control of Network Systems vol. 3 241–253 (2016) – 10.1109/tcns.2015.2459391
Fiaz, S., Zonetti, D., Ortega, R., Scherpen, J. M. A. & van der Schaft, A. J. A port-Hamiltonian approach to power network modeling and analysis. European Journal of Control vol. 19 477–485 (2013) – 10.1016/j.ejcon.2013.09.002
Sauer, (1998)
Tabesh, A. & Iravani, R. Multivariable Dynamic Model and Robust Control of a Voltage-Source Converter for Power System Applications. IEEE Transactions on Power Delivery vol. 24 462–471 (2009) – 10.1109/tpwrd.2008.923531
Tielens, P. & Van Hertem, D. The relevance of inertia in power systems. Renewable and Sustainable Energy Reviews vol. 55 999–1009 (2016) – 10.1016/j.rser.2015.11.016
Venezian, E. & Weiss, G. A warning about the use of reduced models of synchronous generators. 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE) 1–5 (2016) doi:10.1109/icsee.2016.7806190 – 10.1109/icsee.2016.7806190
Winter, W., Elkington, K., Bareux, G. & Kostevc, J. Pushing the Limits: Europe’s New Grid: Innovative Tools to Combat Transmission Bottlenecks and Reduced Inertia. IEEE Power and Energy Magazine vol. 13 60–74 (2015) – 10.1109/mpe.2014.2363534
Zhong, Q.-C. & Weiss, G. Synchronverters: Inverters That Mimic Synchronous Generators. IEEE Transactions on Industrial Electronics vol. 58 1259–1267 (2011) – 10.1109/tie.2010.2048839