Bidirectional Power Flow and Inverter Control in AC/DC Hybrid Mi crogrids (BiFlow-HMG)
Authors/Creators
- 1. Dicle University
- 2. University of Dicle
Description
The Bidirectional Power Flow and Inverter Control in AC/DC Hybrid Microgrids (BiFlow-HMG)
project explores advanced control strategies for managing energy distribution and conversion in
hybrid microgrids, with a specific focus on the coordination of bidirectional inverters. As renewable
energy integration accelerates, maintaining stable and efficient operation in networks that
simultaneously support AC and DC subsystems has become a critical challenge. The project
addresses this challenge by designing and testing an adaptive inverter control mechanism
capable of managing both real and reactive power under varying load and generation conditions.
Conducted under the ERIGrid 2.0 framework, the project utilized a real-time digital simulation
platform combined with Hardware-in-the-Loop (HIL) infrastructure to emulate realistic operating
scenarios and validate the proposed control approach. The experimental setup featured PV
systems, battery energy storage units, DC-DC and DC-AC converters, and critical loads
connected in a flexible hybrid topology.
The project focused on enabling seamless bidirectional power flow, improving power quality, and
enhancing system resilience through dynamic inverter control schemes. The results
demonstrated significant improvements in voltage stability, inverter utilization efficiency, and loss
reduction, particularly under conditions involving high renewable penetration and variable loading.
The adaptive control approach also facilitated effective transitions between grid-connected and
islanded operation modes.
BiFlow-HMG contributes to the ongoing development of autonomous and intelligent microgrid
operation, aligning with the goals of next-generation energy systems that prioritize flexibility,
efficiency, and resilience. The findings support further adoption of hybrid AC/DC architectures and
reinforce the importance of coordinated inverter control in future power networks.
Files
ERIGrid2-Report-Lab-Access-User-Project- BiFlow-HMG.pdf
Files
(867.2 kB)
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