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

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

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, June). Network planning case study utilising real-time thermal ratings and computational fluid dynamics. Presented at Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on Electricity Distribution., Stockholm, Sweden

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on Electricity Distribution.
• 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.
• Public URL: https://durham-repository.worktribe.com/output/1151109
• Additional Information: Conference dates: 10-13 June 2013