Quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids

dc.contributor.author	Banerjee, Binayak
dc.contributor.supervisor	Prof. Syed Islam
dc.contributor.supervisor	Dr Dilan Jayaweera
dc.date.accessioned	2017-01-30T09:46:03Z
dc.date.available	2017-01-30T09:46:03Z
dc.date.created	2015-11-27T07:54:18Z
dc.date.issued	2015
dc.identifier.uri	http://hdl.handle.net/20.500.11937/105
dc.description.abstract	Grid integration of large scale renewable energy is one of the biggest challenges facing the electricity industry. Network congestion due to insufficient capacity has been identified as one of the key impediments to renewable integration. This thesis proposes novel techniques for incorporating dynamic transmission line ratings which involve temporarily relaxing line thermal constraints to release latent network capacity. It hence quantifies the risks and benefits of using dynamic ratings in decision making.
dc.language	en
dc.publisher	Curtin University
dc.title	Quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids
dc.type	Thesis
dcterms.educationLevel	PhD
curtin.department	Department of Electrical and Computer Engineering
curtin.accessStatus	Open access