Management of Electrical Energy Demand by the Inclusion of Electric Vehicles in Microgrids Based on Optimal Demand Response

This project addresses the technical challenge arising from the massive insertion of electric vehicles (EVs) into power distribution systems, particularly in microgrids reliant on non-conventional renewable resources. High EV penetration can cause clustering effects and compromise grid stability, especially in distributed generation scenarios. The core problem lies in efficiently managing energy load to achieve self-sufficiency and reduce reliance on distribution companies during peak demand. The proposed solution focuses on applying advanced Demand Response (DR) strategies, tailored for the residential sector, aiming to incentivize consumers to modulate their consumption during peak hours without significantly compromising convenience. The methodology involves basic research through a state-of-the-art review and the use of heuristic models, complemented by deductive methods to select the appropriate model. Finally, an experimental method will be employed to generate an optimization model that manages EV charging and evaluates its impact using specific indices, allowing the findings to be generalized across different operational scenarios.<br/><br/><b>Goal</b>: <br/>The main objective is to manage electrical energy demand in microgrids, specifically considering the increasing inclusion of electric vehicles (EVs), through the implementation of optimal Demand Response (DR) strategies. This aims to ensure system stability and promote energy self-sufficiency.<br/><br/><b>Research lines</b>: <br/>Optimization in electrical systems