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dc.contributor.authorBabaei, Mehdi
dc.contributor.supervisorAhmed Abu-Siadaen_US
dc.contributor.supervisorSyed Islamen_US
dc.date.accessioned2023-08-11T01:27:00Z
dc.date.available2023-08-11T01:27:00Z
dc.date.issued2023en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/92903
dc.description.abstract

Intentional controlled islanding is a solution to prevent blackouts following a large disturbance. This study focuses on determining island boundaries while maintaining the stability of formed islands and minimising load shedding. A new generator coherency identification framework based on the dynamic coupling of generators and Support Vector Clustering method is proposed to address this challenge. A Mixed Integer Linear Programming model is formulated to minimize power flow disruption and load shedding, and ensure the stability of islanding. The proposed algorithm was validated in 39-bus and 118-bus test systems.

en_US
dc.publisherCurtin Universityen_US
dc.titleIntentional Controlled Islanding in Wide Area Power Systems with Large Scale Renewable Power Generation to Prevent Blackouten_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidBabaei, Mehdi [0000-0001-5348-8044]en_US


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