Alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings
One of the factors hindering the large scale integration of wind power is the post contingency congestion of a network due to limited availability of network capacity and auxiliary constraints. Under such conditions, the network operators can potentially request a curtailment of wind farm output if...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/35761 |
| _version_ | 1848754583639162880 |
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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 | One of the factors hindering the large scale integration of wind power is the post contingency congestion of a network due to limited availability of network capacity and auxiliary constraints. Under such conditions, the network operators can potentially request a curtailment of wind farm output if the remedial strategies fail. The paper investigates this problem in detail and proposes a mathematical framework to capture the post contingency spare capacity of network assets that is required to limit the wind curtailment. The proposed approach incorporates stochastic variation in asset thermal rating; models network congestion, and quantifies the risk of congestion using an extended version of conic-quadratic programming based optimization. The uniqueness of the proposed mathematical model is that it converts conventional thermal constraints to dynamic constraints by using a discretized stochastic penalty function with quadratic approximation of constraint relaxation penalty. The results suggest that the wind utilization can be maximized if the networks are operated 30-50% less than the nominal rating of the assets. |
| first_indexed | 2025-11-14T08:42:43Z |
| format | Conference Paper |
| id | curtin-20.500.11937-35761 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:42:43Z |
| publishDate | 2014 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-357612017-09-13T15:30:23Z Alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings Banerjee, B. Jayaweera, D. Islam, Syed One of the factors hindering the large scale integration of wind power is the post contingency congestion of a network due to limited availability of network capacity and auxiliary constraints. Under such conditions, the network operators can potentially request a curtailment of wind farm output if the remedial strategies fail. The paper investigates this problem in detail and proposes a mathematical framework to capture the post contingency spare capacity of network assets that is required to limit the wind curtailment. The proposed approach incorporates stochastic variation in asset thermal rating; models network congestion, and quantifies the risk of congestion using an extended version of conic-quadratic programming based optimization. The uniqueness of the proposed mathematical model is that it converts conventional thermal constraints to dynamic constraints by using a discretized stochastic penalty function with quadratic approximation of constraint relaxation penalty. The results suggest that the wind utilization can be maximized if the networks are operated 30-50% less than the nominal rating of the assets. 2014 Conference Paper http://hdl.handle.net/20.500.11937/35761 10.1109/AUPEC.2014.6966636 Institute of Electrical and Electronics Engineers Inc. restricted |
| spellingShingle | Banerjee, B. Jayaweera, D. Islam, Syed Alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings |
| title | Alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings |
| title_full | Alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings |
| title_fullStr | Alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings |
| title_full_unstemmed | Alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings |
| title_short | Alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings |
| title_sort | alleviating post-contingency congestion risk of wind integrated systems with dynamic line ratings |
| url | http://hdl.handle.net/20.500.11937/35761 |