Intentional Controlled Islanding in Wide Area Power Systems with Large Scale Renewable Power Generation to Prevent Blackout
dc.contributor.author | Babaei, Mehdi | |
dc.contributor.supervisor | Ahmed Abu-Siada | en_US |
dc.contributor.supervisor | Syed Islam | en_US |
dc.date.accessioned | 2023-08-11T01:27:00Z | |
dc.date.available | 2023-08-11T01:27:00Z | |
dc.date.issued | 2023 | en_US |
dc.identifier.uri | http://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.publisher | Curtin University | en_US |
dc.title | Intentional Controlled Islanding in Wide Area Power Systems with Large Scale Renewable Power Generation to Prevent Blackout | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | School of Electrical Engineering, Computing and Mathematical Sciences | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |
curtin.contributor.orcid | Babaei, Mehdi [0000-0001-5348-8044] | en_US |