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Decentralized H∞ voltage regulation for dc microgrids under load variations

Research output: Contribution to journalConference articlepeer-review

Abstract

Direct current (DC) microgrids have gained increasing attention as a promising architecture for reliable and efficient power distribution in renewable-based systems. Their ability to interface seamlessly with distributed generation (DG) units, energy storage, and electronic loads makes them ideal for modern power networks. However, ensuring stable bus voltage remains challenging under load variations, reference changes, and plug-and-play (PnP) operations. This paper proposes a decentralized H∞ control strategy for robust voltage regulation in DC microgrids. A comprehensive state-space model of converterinterfaced DG units is developed and augmented with integral action to eliminate steady-state error. The controller gains are synthesized using Linear Matrix Inequalities (LMIs) to guarantee robust stability and bounded H H∞ performance against system uncertainties and external disturbances. Simulation studies conducted on a representative DC microgrid demonstrate that the proposed controller achieves faster transient response, smaller overshoot, and stronger disturbance rejection compared with a pole-placement design, validating its effectiveness for reliable and scalable voltage control in DC microgrids.

Original languageEnglish
Pages (from-to)944-951
Number of pages8
JournalInternational Multi-Conference on Systems, Signals, and Devices, SSD
Issue number2026
DOIs
StatePublished - 2026
Event23rd International Multi-Conference on Systems, Signals and Devices, SSD 2026 - Catania, Italy
Duration: 31 Mar 20261 Apr 2026

Bibliographical note

Publisher Copyright:
© 2026 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • DC microgrids
  • DC-DC buck converter
  • H∞ control
  • LMIs, Voltage regulation
  • Robust control
  • distributed generation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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