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Network planning case study utilising real-time thermal ratings and computational fluid dynamics

Greenwood, David; Ingram, Grant; Taylor, Phil; Collinson, Alan; Brown, Shannon

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Authors

David Greenwood

Phil Taylor

Alan Collinson

Shannon Brown



Abstract

Real-Time Thermal Ratings (RTTR) has a natural synergy with wind generation, since during periods of high local wind speed increased wind farm output coincides with uplifted line ratings. This paper describes a network planning study on a real section of UK distribution network. The study considers a branch of 132kV network connecting several wind farms to the grid. By assessing the local wind conditions in the area surrounding the wind farm and proposed overhead line, the study predicts the increase in energy throughput, and hence accommodated generation, for different routes considered for the overhead line. The locations of thermal bottlenecks in the proposed routes are identified. The study shows that a wind farm of 140MW can be connected to a conductor which could only support 90MW based on its static rating, and if the route is chosen correctly only 1% of the energy yield will be constrained.

Citation

Greenwood, D., Ingram, G., Taylor, P., Collinson, A., & Brown, S. (2013). Network planning case study utilising real-time thermal ratings and computational fluid dynamics. In 22nd International conference and exhibition on electricity distribution (CIRED 2013) : 10-13 June 2013, Stockholm, Sweden ; proceedings. https://doi.org/10.1049/cp.2013.0941

Conference Name Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on Electricity Distribution.
Conference Location Stockholm, Sweden
Start Date Jun 10, 2013
End Date Jun 13, 2013
Publication Date Jun 13, 2013
Deposit Date Feb 3, 2016
Publicly Available Date Jun 8, 2016
Publisher IET
Book Title 22nd International conference and exhibition on electricity distribution (CIRED 2013) : 10-13 June 2013, Stockholm, Sweden ; proceedings.
DOI https://doi.org/10.1049/cp.2013.0941
Keywords Computational fluid dynamics, Load forecasting, Overhead line conductors, Power distribution planning, Power generation planning, Power grids, Power overhead lines, Wind power plants.
Additional Information Conference dates: 10-13 June 2013

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