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Khayat, Yousef

PhD student Yousef Khayat

PROJECT TITLE: Modeling, Stability Analysis, and Control of Multiple MG Clusters

PhD period: 2020.01.01 – 2022.12.31.
Section: Power Electronic Systems
Research Programme: Microgrids
Supervisor: Josep M. Guerrero
Co-Supervisors: Juan Carlos Vasquez and Saeed Golestan
Contact Information

Collaborator: To be announced later.
Funding: Villum Foundation.


With the development of distributed generation (DG), there has been a growing interest in utilizing MGs (MGs) in grid service restoration, especially during severe contingency like natural disasters. In this regard, an increasing number of DGs are integrated into the multi-MGs to meet more resiliency. To do this, a secure cyber physical modeling and cooperative control in the system level, and fault-ride-through capability in DG level are needed. However clustering of multi-MGs leads to a very weak grid, proposing accurate model, stability analysis, and cooperative control of multi-MG clusters and its grid-forming components have become a challenging issue, not only for small signal studies, but also for severe contingencies and large signal disturbances. The project has focused on large-signal perspectives of “modelling, stability analysis, and control of multiple microgrid clusters”, such that a resilient performance during extreme faults can be achieved in multiple MG clusters. This topic covers a wide range of clustered renewable energy systems, including wind farms and offshore wind farms, and how to protect them during extreme faults and natural disasters. To this end, we try to cope with natural disasters, cyber-security attacks, and extreme fault events for fully renewable based power systems. To this end, the promising role of grid-forming control schemes in comparison with the grid feeding methods will be elaborated. Then, by appropriate modelling of them, we try to implement suitable/robust cooperative controls in the secondary layer for utilizing a resilience multi-MG system. 

Model by Yousef Khayat


Publications in journals and conference papers may be found at VBN.