Optimal scheduling with dynamic line ratings and intermittent wind power
© 2014 IEEE. Limited transmission capacity may lead to wind curtailment during periods of high availability of wind. This paper presents an improved methodology to quantify the latent scheduling capacity of a power system taking into account stochastic variation in line-thermal rating, intermittency...
| Main Authors: | , , |
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| Format: | Conference Paper |
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IEEE Computer Society
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/48265 |
| _version_ | 1848758061720666112 |
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| author | Banerjee, B. Jayaweera, D. Islam, Syed |
| author_facet | Banerjee, B. Jayaweera, D. Islam, Syed |
| author_sort | Banerjee, B. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2014 IEEE. Limited transmission capacity may lead to wind curtailment during periods of high availability of wind. This paper presents an improved methodology to quantify the latent scheduling capacity of a power system taking into account stochastic variation in line-thermal rating, intermittency of wind, and mitigating the risk of network congestion associated with high penetration of wind. The approach is aimed at strategic planning of power systems in the context of power systems with short to medium length lines with a priori known unit commitment decisions and uses stochastic optimization with a two stage recourse action. Results suggest that a considerable level of wind penetration is possible with dynamic line ratings, without adversely affecting the risk of network congestion. |
| first_indexed | 2025-11-14T09:38:00Z |
| format | Conference Paper |
| id | curtin-20.500.11937-48265 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:38:00Z |
| publishDate | 2014 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-482652017-09-13T14:20:53Z Optimal scheduling with dynamic line ratings and intermittent wind power Banerjee, B. Jayaweera, D. Islam, Syed © 2014 IEEE. Limited transmission capacity may lead to wind curtailment during periods of high availability of wind. This paper presents an improved methodology to quantify the latent scheduling capacity of a power system taking into account stochastic variation in line-thermal rating, intermittency of wind, and mitigating the risk of network congestion associated with high penetration of wind. The approach is aimed at strategic planning of power systems in the context of power systems with short to medium length lines with a priori known unit commitment decisions and uses stochastic optimization with a two stage recourse action. Results suggest that a considerable level of wind penetration is possible with dynamic line ratings, without adversely affecting the risk of network congestion. 2014 Conference Paper http://hdl.handle.net/20.500.11937/48265 10.1109/PESGM.2014.6939381 IEEE Computer Society restricted |
| spellingShingle | Banerjee, B. Jayaweera, D. Islam, Syed Optimal scheduling with dynamic line ratings and intermittent wind power |
| title | Optimal scheduling with dynamic line ratings and intermittent wind power |
| title_full | Optimal scheduling with dynamic line ratings and intermittent wind power |
| title_fullStr | Optimal scheduling with dynamic line ratings and intermittent wind power |
| title_full_unstemmed | Optimal scheduling with dynamic line ratings and intermittent wind power |
| title_short | Optimal scheduling with dynamic line ratings and intermittent wind power |
| title_sort | optimal scheduling with dynamic line ratings and intermittent wind power |
| url | http://hdl.handle.net/20.500.11937/48265 |