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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Burke, D.J. O'Malley, M.J. |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Electrical, Electronic and Mechanical Engineering, University College Dublin, Dublin 4, Rep. of Ireland (Burke, D.J.; O'Malley, M.J.) |
| Abstract | Many countries have declared future renewable energy penetration targets. Wind power connection to power systems is delayed by limited transmission system capacity as attractive wind sites are often located in weakly designed transmission areas. Optimal use of existing transmission system resources should be made in the allocation of capacity connection permits. The volume of wind power connection applications and their power production statistical inter-dependencies suggest that they should be assessed in a collective probabilistic manner. This paper uses a sequential probabilistic load flow method in tandem with a linear programming computational geometry constraint redundancy approach to optimally allocate wind capacities given the transmission system capacity that is securely available. |
| Starting Page | 1 |
| Ending Page | 9 |
| File Size | 519315 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781424438105 |
| DOI | 10.1109/PSCE.2009.4840126 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Delay systems Renewable energy resources probabilistic load flow Linear programming wind energy linear programming power transmission Power system security Load flow Computational geometry Wind energy maximal vector power system planning Production Resource management Capacity planning |
| Content Type | Text |
| Resource Type | Article |
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