Passivity-based control of islanded microgrids with unknown power loads

Authors

Sofía Avila-Becerril, Gerardo Espinosa-Pérez, Oscar Danilo Montoya, Alejandro Garces

Abstract

In this paper, the control problem of microgrids (MGs)operating in islanded mode is approached from a passivity-based control perspective. A control scheme is proposed that, relying only on local measurements for the power converters included in the network representation, achieves both voltage regulation and power balance in the network through the generation of grid-forming and grid-following nodes. From the mathematical perspective, the importance of the contribution lies in the feature that, exploiting a port-controlled Hamiltonian representation of the MG, the closed-loop system’s stability properties are formally proved using arguments from the theory of non-linear dynamical systems. Fundamental for this achievement is the decomposition of the system into subsystems that require a control law and another whose variables can evolve in a free way. From the practical viewpoint, the advantage of the proposed controller lies in the feature that the power demanded by the loads is satisfied without neither computing its specific value nor solving the non-linear algebraic equations given by the power flow, avoiding the computational burden associated with this task. The usefulness of the scheme is illustrated via a numerical simulation that includes practical considerations.

Citation

• Journal: IMA Journal of Mathematical Control and Information
• Year: 2020
• Volume: 37
• Issue: 4
• Pages: 1548–1573
• Publisher: Oxford University Press (OUP)
• DOI: 10.1093/imamci/dnaa025

BibTeX

@article{Avila_Becerril_2020,
  title={{Passivity-based control of islanded microgrids with unknown power loads}},
  volume={37},
  ISSN={1471-6887},
  DOI={10.1093/imamci/dnaa025},
  number={4},
  journal={IMA Journal of Mathematical Control and Information},
  publisher={Oxford University Press (OUP)},
  author={Avila-Becerril, Sofía and Espinosa-Pérez, Gerardo and Montoya, Oscar Danilo and Garces, Alejandro},
  year={2020},
  pages={1548--1573}
}

Download the bib file

References

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