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 language | English |
|---|---|
| Pages (from-to) | 944-951 |
| Number of pages | 8 |
| Journal | International Multi-Conference on Systems, Signals, and Devices, SSD |
| Issue number | 2026 |
| DOIs | |
| State | Published - 2026 |
| Event | 23rd International Multi-Conference on Systems, Signals and Devices, SSD 2026 - Catania, Italy Duration: 31 Mar 2026 → 1 Apr 2026 |
Bibliographical note
Publisher Copyright:© 2026 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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