A Full State-Variable Direct Predictive Control for Islanded Microgrids with Parallel Converters

Yu Li, Zhenbin Zhang, Cungang Hu, Mohamed Abdelrahem, Ralph Kennel, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

Abstract

In this work, we propose a high-quality control solution for islanded microgrids with multi-parallel power converters; it uses a full state-variable direct model predictive control (FSV-DMPC) and has a simple structure. Unlike the conventional cascaded control loops, the proposed FSV-DMPC solution tracks the optimal reference generated by a robust droop loop using a unified cost function. This proposal enables the FSV-DMPC to be inserted into the entire control framework with plug-and-play capability; it is robust to parameter variations, while also guaranteeing dynamics and stability. We conduct a deep analysis of the proposed approach, taking into account both the characteristics of the solution and the bounded stability of the system. Through comprehensive comparative studies with a classical double-loop linear controller, we validate that our solution achieves superior output voltage regulation during the load transients in terms of voltage error and settling time. Meanwhile, similar steady-state performances are accomplished for both methods. Finally, we verify our approach experimentally in different scenarios through a lab-constructed microgrid test-bench. Experimental data confirm that the proposed approach achieves excellent steady-state and transient performances, and obtains accurate load sharing.

Original languageEnglish
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
DOIs
Publication statusAccepted/In press - 2020

Keywords

  • Droop control
  • microgrid
  • model predictive control
  • parallel-connected converters
  • power quality

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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