𝕃1 adaptive networked controller for islanded distributed generation systems in a microgrid

Nezar M. Alyazidi, Magdi S. Mahmoud*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

In this paper, we implement an output-feedback L1 adaptive controller for islanded distributed generation systems (DGs) with communication, load and generation constraints. The L1 adaptive controller is introduced to deal with nonlinearities of dynamical systems and unknown constraints. It primarily consists of a predictor, an adaptive law, and a control law. Herein, the controller can sustain desired performance and the robustness, in which the control law loop contains a low pass filter that sustain a rapid adaptation rate without fluctuations. The critical challenge into a standalone microgrid is to coordinate the necessitate load power with the distributed generations production in the presence of load/generation fluctuations. The coordinated controller is implemented to undertake the conflicts, and to enhance the performance, and to minimise the control cost by coordinate the requirements between decentralised controllers. The proposed controller is worthy for ensuring the network stability of DGs in a microgrid environment in the presence of uncertainties and transmission time delays. A typical simulation example is presented to confirm the effectiveness of the proposed design procedure.

Original languageEnglish
Pages (from-to)2507-2524
Number of pages18
JournalInternational Journal of Systems Science
Volume49
Issue number12
DOIs
StatePublished - 10 Sep 2018

Bibliographical note

Funding Information:
This work is supported by the Deanship for Scientific Research (DSR) at KFUPM through distinguished professorship award project IN-161065.

Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • adaptive controller
  • distributed generation systems
  • linear quadratic regulator
  • microgrid
  • output feedback

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

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