Grid resilience enhancement by implementing Smart Microgrids

Master thesis (2018)

Authors

D. Gómez de Segura Electrical Engineering, Mathematics and Computer Science

Contributors

José L. Rueda (mentor)
P. Palensky (graduation committee member)
M. Ghaffarian Niasar (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2018 David Gómez de Segura
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Published Date

18-06-2018

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

The electrical power industry is undergoing rapid transformation, and Smart Grids technologies can facilitate the growing penetration of renewable energies, as well as the necessity of providing flexibility to variable generation. Furthermore, their widespread installation results in a modernization of the electric grid, opening up new operation possibilities. This Master Thesis Project is formulated to study the resilience enhancements that can be achieved in the electric grid, by means of integrating distributed generation within Smart Microgrids.
Several guidelines that should lead the design of microgrids in order to improve the survivability and restoration capacities of the system are provided in this project. Optimization of current features such island mode of operation and advanced metering infrastructure are studied. In addition, the concept of a meshed set of loop-based microgrids and self-healing procedures are proposed.
Furthermore, a versatile RSCAD microgrid model has been developed, implementing the aforemen- tioned resilience-related guidelines. It accounts for a microgrid with diverse distributed generation, which integrates a number of city facilities modelled as loads. Making use of the RTDS simulator, sev- eral simulations have been run on the model, validating its normal functioning and testing the response given to critical situations.