Our group presents its latest research on Multi-Energy Microgrids and Microgrid Clusters at EEEIC 2024
Our group presents its latest research on Microgrid Clusters and Multi-Energy Microgrids at EEEIC 2024Rome, June 17-20, 2024 |
👨🎓 👩🎓 Last week researchers from our group participated in EEEIC 2024, the 24th edition of the ‘International Conference on Environment and Electrical Engineering’, held at the Sapienza University of Rome, in Rome. Our researchers were part of a session about the power systems and smart grids, a current topic that attracts the attention of the best researchers in the world.
The articles ‘Optimal Energy Management System for Storage-Integrated Multi-Energy Microgrids’, ‘Distributed Control for a Microgrid Cluster: Implementation and Experimental Validation’ and ‘Coordinated Operation of Multi-Energy Microgrids Based on Fuzzy-Logic Control’ were presented in the conference.
In ‘Optimal Energy Management System for Storage-Integrated Multi-Energy Microgrids’, an optimal energy management system (EMS) is proposed, using a nonlinear optimization algorithm to economically dispatch power between electrical and hydrogen sources while maintaining a balance between thermal and electrical power across all components of the microgrid.
‘Distributed Control for a Microgrid Cluster: Implementation and Experimental Validation’ proposes the real-time validation of a distributed power management with two control agents in a microgrid cluster, with various energy storage systems, renewable generation and electrical loads, using two low-cost Raspberry Pi microcomputers and an OPAL-RT 4512 unit.
‘Coordinated Operation of Multi-Energy Microgrids Based on Fuzzy-Logic Control’ offers an EMS based on fuzzy logic to coordinate electricity, heating, cooling and hydrogen vectors in a dynamic real-time approach. The results demonstrate that it is posible to recover the residual heat during electrolysis and save energy in the heating circuit, avoiding the dependence on the main grid and employing an hybrid energy storage system based on hydrogen and battery.
The articles ‘Optimal Energy Management System for Storage-Integrated Multi-Energy Microgrids’ and ‘Coordinated Operation of Multi-Energy Microgrids Based on Fuzzy-Logic Control’ are included as part of the national project ‘Coordinated control of multi-energy microgrids with electricity, hydrogen and gas vectors’ – CoMicroME-EleH2Gas (Ref. TED2021-129631B-C32). These publications are part of the project TED2021-129631B-C32, funded by MICIU/AEI/10.13039/501100011033 and by FEDER/EU.
The article ‘Distributed Control for a Microgrid Cluster: Implementation and Experimental Validation’, is included in the national project ‘Dynamic study and control of microgrid clusters’ – ConMicroClus (Ref. PID2021-123633OB-C32). This publication is part of the project PID2021-123633OB-C32 funded by MICIU/AEI/10.13039/501100011033 and by the European Union Next GenerationEU/PRTR.
A huge thank you to the organizers, researchers, and participants for making this a successful event. We hope to see you all again soon!!