Events at Department of Energy Technology

PhD defence by Navid Bayati on Fault Detection and Location of DC Microgrids

Time

27.11.2020 kl. 13.00 - 16.00

Description

Navid Bayati, Department of Energy Technology, will defend the thesis "Fault Detection and Location of DC Microgrids"

TITLE

Fault Detection and Location of DC Microgrids

PHD DEFENDANT

Navid Bayati

SUPERVISOR

Associate Professor Amin Hajizadeh

CO-SUPERVISOR

Associate Professor Mohsen Soltani

MODERATOR

Associate Professor Jens Bo Holm-Nielsen

OPPONENTS

Associate Professor Jayakrishnan Radhakrishna Pillai, Dept. of Energy Technology, Aalborg University (Chairman)
Professor Francisco Gonzalez-Longatt, University of South Eastern Norway
Associate Professor Mehdi Savaghebi, University of Southern Denmark

ABSTRACT

In recent years, by increasing the penetration of renewable energy sources (RESs), the development of power electronic converters, and environmental concerns, the utilizing of DC Microgrids has been dramatically increased. However, besides the advantages of DC Microgrids over AC systems, the protection of these systems has not been significantly studied and developed. Therefore, this work proposed and suggested localized fault detection and location schemes for DC Microgrids with both radial and ring configurations during islanded and grid-connected modes. Furthermore, the different types of loads, such as constant power loads (CPLs), DC motors, and DC resistive loads are considered and the impact of CPLs on the protection of DC Microgrids is investigated. In addition, due to eliminating the communication links in the proposed protection system, the cost and reliability of DC Microgrid protection systems are improved. On the other hand, for providing more power support and better reliability, the concept of DC Microgrid cluster has been presented in recent years. However, there is a lack of study on the protection of these systems. This work also proposes several fault detection and location schemes for these systems based on different transient signal processing tools. The proposed schemes are tested by simulation in MATLAB and Digsilent, and by experimentation by dSPACE. The results of the suggested protection scheme are shown during different scenarios such as high impedance fault, overload, noise, and bad calibration. The outcome of this work proves the effectiveness of the proposed local fault detection and location scheme on both DC Microgrids and DC Microgrid clusters. 

 

THE DEFENCE will be IN ENGLISH - all are welcome.

Zoom meeting link

 

 

 

Host

Department of Energy Technology

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