This research project focuses on the optimal operation of Hybrid AC/DC Electric Microgrids, addressing the need for more intelligent and complex control strategies to manage distributed generation integration and the use of power converters. The main problem lies in the challenges faced by robust control schemes in islanded and grid-connected operating modes, especially in critical scenarios like natural disasters. The proposed solution involves identifying, analyzing, optimizing, and implementing control strategies based on hierarchical/distributed methodologies (primary, secondary, and tertiary) and multi-criteria methods. The development centers on designing algorithms for hierarchical control and new techniques for FACTS devices, aiming to dissociate performance metrics for specific objectives such as voltage and speed stability. The methodology includes historical, inductive, deductive, and applied research, culminating in experimental investigation to validate the proposed algorithms in real-time, thereby increasing the reliability and quality of the energy supply.<br/><br/><b>Goal</b>: <br/>To enhance the performance of current control laws in Hybrid AC/DC Microgrids by implementing a hierarchical methodology and optimizing their control laws. The ultimate goal is to ensure the Microgrid delivers quality and reliable energy to the consumer, operating efficiently in both grid-connected and islanded modes.<br/><br/><b>Research lines</b>: <br/>Optimization in electrical systems
| Status | Finished |
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| Effective start/end date | 22/01/18 → 30/12/18 |
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In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 7
Affordable and Clean Energy