Quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids
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 dynam...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
Curtin University
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/105 |
| _version_ | 1848743273961619456 |
|---|---|
| author | Banerjee, Binayak |
| author_facet | Banerjee, Binayak |
| author_sort | Banerjee, Binayak |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T05:42:57Z |
| format | Thesis |
| id | curtin-20.500.11937-105 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:42:57Z |
| publishDate | 2015 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-1052017-02-20T06:40:17Z Quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids Banerjee, Binayak 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. 2015 Thesis http://hdl.handle.net/20.500.11937/105 en Curtin University fulltext |
| spellingShingle | Banerjee, Binayak Quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids |
| title | Quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids |
| title_full | Quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids |
| title_fullStr | Quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids |
| title_full_unstemmed | Quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids |
| title_short | Quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids |
| title_sort | quantifying the benefits of dynamic line ratings in congestion management for improved wind integration in smart grids |
| url | http://hdl.handle.net/20.500.11937/105 |