Evaluation of Primary Control Strategies in Electric Microgrids

This project addresses the challenge of maintaining voltage and frequency stability in electric microgrids, especially when operating in islanded mode with high penetration of intermittent renewable energy sources. Microgrids have evolved from a centralized model to a distributed one, necessitating sophisticated control strategies to manage active and reactive power from Distributed Generation (DG) units. The main objective is to evaluate primary control strategies, such as PID control, Fuzzy Logic Control (FLC), PID-FUZZY, and PID optimized by Genetic Algorithms (GA), which are crucial for ensuring reliable islanded operation. The methodology involves an extensive review of the state-of-the-art in databases like Science Direct and IEEExplore to identify intelligent control techniques. Subsequently, these techniques will be simulated using Matlab software, subjecting the microgrid to disturbances. Finally, the responses of classical control versus intelligent strategies will be compared to establish the superiority of the proposed methods in regulating frequency and voltage.<br/><br/><b>Goal</b>: <br/>To evaluate and compare various primary control strategies in electric microgrids, including classical and intelligent methods, to determine which offers the best operational improvement and stability when facing disturbances.<br/><br/><b>Research lines</b>: <br/>power electronics