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Impact from Dynamic Line Rating on Wind Power Integration
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (RCAM)ORCID iD: 0000-0001-6882-3642
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-8189-2420
2015 (English)In: IEEE Transactions on Smart Grid, ISSN 1949-3053, Vol. 6, no 1, 343-350 p.Article in journal (Refereed) Published
Abstract [en]

The concept of dynamic rating (DR) implies that the capacity of a component varies dynamically as a function of external parameters, while the rating traditionally is based on the worst-case. The value of DR thus lies in utilizing existing equipment to a greater extent. By implementing DR and correlating the new ratings with wind power generation, more generation can be implemented. The aim is hence to facilitate connection of renewable electricity production. This paper provides two main contributions: 1) a general dynamic line rating (DLR) calculation model on overhead lines; and 2) an economic optimization simulation model regarding wind power integration comparing DLR with more traditional approaches. These models can both be implemented together, but also separately. The DLR calculation model is easy to use by companies in daily operation where the dynamic line capacity is calculated as a function of static line capacity, wind speed, and ambient temperature. The DLR calculation model is furthermore compared with more comprehensive calculations that validate that the model is accurate enough. This paper also provides an application study where both proposed models are exemplified together and evaluated. Results from this study conclude that it is a significant economic potential of implementing DR within wind power integration.

Place, publisher, year, edition, pages
IEEE Press, 2015. Vol. 6, no 1, 343-350 p.
Keyword [en]
dynamic line rating, dynamic rating, management decision-making, power distribution, simulation, utilization, wind power
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
URN: urn:nbn:se:kth:diva-149436DOI: 10.1109/TSG.2014.2341353ISI: 000346731400034ScopusID: 2-s2.0-84919906732OAI: diva2:739564

QC 20140902

Available from: 2014-08-21 Created: 2014-08-21 Last updated: 2016-01-01Bibliographically approved

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