Robust decentralized plug and play voltage tracker of islanded microgrids under loads and lines uncertainties by the invariant ellipsoids

Ehab H.E. Bayoumi, Hisham M. Soliman, Farag Ali El-Sheikhi, M. Shafiq, Hilmy Awad*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Microgrids (MGs) comprising of distributed generation units (DGs) are subjected to plug-and-play operation (PnP), lines (connecting the DGs) parameters uncertainty, and load changes. Robust stability and an authentic operation for islanded microgrids can be guaranteed through a robust decentralized voltage tracker developed in this paper. The proposed controller design has the following merits: 1) fully decentralized, 2) scalable, and 3) maintains robust stability against PnP of DGs, load changes, and lines parameters’ uncertainties. A sufficient condition is developed by linear matrix inequality convex optimization is exploited to solve the problem. The MGs’ changes in load and the line's parameters are modelled as norm-bounded uncertainties. The suggested controller uses local measurements from DGs, i.e., decentralized by the decomposition of the global system into subsystems. For each subsystem, the rest of the system's impact is considered disturbances, whose influence must be minimized. The proposed disturbance rejection control algorithm is based on the method of invariant-ellipsoids. Several time-domain scenarios such as connecting and disconnecting a number of DGs, local load changes, and variation of transmission line parameters are executed to assess the suggested controller's effectiveness, using MATLAB /Sim PowerSystems Toolbox.

Original languageEnglish
JournalJournal of King Saud University, Engineering Sciences
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Decentralized robust control
  • Invariant ellipsoids
  • Islanded microgrids

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Materials Science (miscellaneous)
  • Fuel Technology
  • Fluid Flow and Transfer Processes
  • Computer Networks and Communications
  • Industrial and Manufacturing Engineering

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