Decentralized Adaptive Protection Schemes in Micro Grid Clusters

Project Details


Multiple microgrids (MMG) that are geographically adjacent are considered active systems of smart grids that increase reliability, guarantee a continuous supply of energy, and offer flexibility and self-recovery in their operation. The protection of microgrids clusters is still in development. The end goal of my thesis is to develop a standardized methodology for the selection of protection schemes for MG clusters. Currently standardized approaches to the selection of protections are not available for these systems. With the proposed methodology it will be possible to experimentally evaluate different protections using real-time simulations that will allow the users of these systems to select the most appropriate protection schemes for MG clusters.

The development of the proposed methodology will include a theoretical and experimental analysis. The theoretical analysis includes the identification of the typical failure events in cluster models proposed in the literature, the types of failures that have been evaluated, and the types of relays that have been used. This analysis also includes the identification of the MG clusters communication systems

The theoretical analysis will lead to the identification of different models of MG clusters and different protections schemes. In the experimental analysis, the protection schemes will be evaluated for different types of failures. The experimental stage consists on modeling the microgrid clusters, failures and protections schemes. The design of the electrical systems and simulations will be carried out using specialized software.[1] The focuse of the approach is on decentralized protections and in making sure that the developed methodoly is able to adress scalability, integration, and power quality issues that are present in MG clusters. There is also the possibility applying and testing the developed methodology in an actual electrical system of migrogrid clusters.

[1] There are different advanced real-time simulation platforms that could be used. This include those available from MathWorks, RT-LAB or OPAL-RT, HYPERSIM. The choice of the simulation platform will be determined at the time of designing the experimental work.

Funding: Colombian loan-Scholarship

Key findings

Adaptive Protection, decentralized protection, Multiple Micro grids (MMG), distributed generation (DG), power oscillations, real time simulation (RTSim)
Effective start/end date01/11/202131/10/2024


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