Potential of dynamic rating in Sweden
2014 (English)Conference paper (Refereed)
Power system owners are facing major challenges, for example with changed electricity consumption and production patterns; more distributed generation and increased demand of cost efficiency while maintaining high reliability. The concept of dynamic rating can act as a part solution and implies that the capacity of a component is dynamically varying as a function of external parameters such as weather and load history. This hence implies that a component can be better utilized. This can have both direct economic benefits for the utility, but also benefits for the society and the environment by lower tariff levels, faster and cheaper connection of local environmentally friendly electricity production and less climate impact associated with component production and installation.
This paper gives a brief introduction to the concept of dynamic rating applied to power systems. Furthermore, results and conclusions from two workshops during 2013 are summarized, where representatives from Vattenfall and Fortum (distribution system operators), ABB (producer and developer that work with dynamic rating solutions), Swedish national grid and several persons from the academia contributed. This was complemented by interviews with the involved companies. The result is a mapping of knowledge, research, development interests, current situation and future visions. All parties show a great interest and see potential, but there are also challenges to be solved.
Place, publisher, year, edition, pages
adaptive rating, cable, control room, dynamic rating, management decision-making, power line, power system, standardization, thermal modeling, transformer, utilization, wind power
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject Electrical Engineering; Energy Technology
IdentifiersURN: urn:nbn:se:kth:diva-147995DOI: 10.1109/PMAPS.2014.6960605ISI: 000358734100028ScopusID: 2-s2.0-84915818876OAI: oai:DiVA.org:kth-147995DiVA: diva2:733864
13th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS); Durham, UK, 7-10 July 2014
QC 201408062014-07-112014-07-112015-09-10Bibliographically approved