Dynamic Identification and Fault Tolerance in Isolated AC/DC Hybrid Microgrids Using Multiple Strategies

This project addresses the need for advanced and intelligent control strategies for AC/DC Hybrid Microgrids (HMGs), particularly in islanded operation modes where faults pose a significant challenge to power supply reliability. The main objective is to develop and implement automatic strategies for dynamic identification and optimization of distributed generation management. These strategies will be complemented by robust fault tolerance methodologies, designed to substantially enhance the dynamic performance of control systems against adverse events. The research is based on a methodological approach including historical, inductive, deductive, and applied research to analyze the behavior of various control strategies in HMGs. Finally, experimental research will be conducted to validate the proposed algorithms in real-time under diverse scenarios, aiming to ensure a reliable and quality power supply for isolated communities, even in catastrophic situations.<br/><br/><b>Goal</b>: <br/>To develop automatic dynamic identification and fault tolerance strategies for discrete/continuous converters and compensation systems in isolated AC/DC Hybrid Microgrids, employing hierarchical methodologies and multi-criteria strategies.<br/><br/><b>Research lines</b>: <br/>Operation and control of electrical systems