Multiobjective Laguerre Functions−Based Discrete−Time Model Predictive Control: A Fast Inner−Loop Controller for Grid−Forming Converters

Meysam Saeedian, Oriol Gomis-Bellmunt, Edris Pouresmaeil*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
72 Downloads (Pure)

Abstract

In islanded ac microgrids, conventional primary control uses inner−loop cascaded linear controller and outer−loop droop to realize local voltage regulation and power sharing. However, it has a poor dynamic performance and fast rate of frequency change following disturbances. This paper addresses these issues by proposing a modified virtual synchronous generator (VSG) control. A Laguerre functions−based discrete−time model predictive control (LF−DMPC) with a multiobjective cost function is incorporated as the inner loop; yielding large prediction horizon, improved dynamic response, and inherent overcurrent protection in the case of faults. The swing−based and the reactive power droop controllers also form the outer loop aimed at inertia emulation and power sharing. The merits of proposed approach are verified by comparisons with conventional droop and VSG controls. Detailed model simulations are conducted on a 2−converter ac microgrid in MATLAB/Simulink to show the efficacy of the proposed controller.

Original languageEnglish
Article number107976
Pages (from-to)1-10
Number of pages10
JournalElectric Power Systems Research
Volume209
DOIs
Publication statusPublished - 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Ac microgrid
  • Virtual synchronous generator
  • Model predictive control
  • Large prediction horizon
  • Overcurrent protection

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