Optimal management of power networks using a dynamic line rating approach

Duque, Joaquim; Santos, D.; Couto, António; Estanqueiro, Ana

Publication

Optimal management of power networks using a dynamic line rating approach

2018Journal article

dc.contributor.author	Duque, Joaquim
dc.contributor.author	Santos, D.
dc.contributor.author	Couto, António
dc.contributor.author	Estanqueiro, Ana
dc.date.accessioned	2018-11-13T15:37:58Z
dc.date.available	2018-11-13T15:37:58Z
dc.date.issued	2018
dc.description.abstract	ABSTRACT: Due to the stochastic nature of wind, the wind power integration into the power system poses serious challenges to the transmission system operators (TSO). The impact of large amounts of wind energy generation onto the power system may congest some of the transmission lines that transport it to the (sometimes) distant consumption centres. Since the occurrence of wind not only contributes to the loading of the connecting electric line, but also increases the line capacity, via convective cooling of the cables, a dynamic line rating (DLR) analysis computes a more realistic set of values for the line capacity, thus it can be a cost-effective solution to alleviate some overhead line congestion problems. This work presents an operational tool for the DLR analysis of power networks, allowing the optimal integration of renewable energy sources, especially where potentially congested lines may exist. The tool was applied to a real case study using forecast meteorological data, and the results achieved were compared with those obtained by using the Portuguese TSO method for assessing the transmission capacity of the lines. For high wind speed conditions, results show a noticeable increase on the cable’s convective cooling assessed by the DLR analysis. This assessment leads to a noticeable rise on the cables’ capacities that overcame the congestion associated with the high injection levels of wind power generation in the power grid.	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier.citation	Duque, J.; Santos, D.; Couto, A... [et.al.]. - Optimal management of power networks using a dynamic line rating approach. In: The Renewable Energies & Power Quality Journal, 2018, Vol.1 (16), p. 584-589	pt_PT
dc.identifier.issn	2172-038X
dc.identifier.uri	http://hdl.handle.net/10400.9/3093
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	European Association for the Development of Renewable Energies, Environment and Power Quality	pt_PT
dc.relation	Integrated Research Programme on Wind Energy (IRPWIND), Grant agreement number: 609795	pt_PT
dc.relation.publisherversion	https://doi.org/10.24084/repqj16.398	pt_PT
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	pt_PT
dc.subject	Wind power systems	pt_PT
dc.subject	Integration	pt_PT
dc.subject	Renewable energy sources	pt_PT
dc.subject	Wind power	pt_PT
dc.subject	Power systems	pt_PT
dc.title	Optimal management of power networks using a dynamic line rating approach	pt_PT
dc.type	journal article
dspace.entity.type	Publication
oaire.citation.endPage	589	pt_PT
oaire.citation.startPage	584	pt_PT
oaire.citation.title	The Renewable Energies & Power Quality Journal (RE&PQJ)	pt_PT
oaire.citation.volume	1	pt_PT
person.familyName	Couto
person.familyName	Estanqueiro
person.givenName	António
person.givenName	Ana
person.identifier.ciencia-id	2619-80A1-A8AC
person.identifier.ciencia-id	7F11-A24D-EE81
person.identifier.orcid	0000-0002-7368-8817
person.identifier.orcid	0000-0002-0476-2526
person.identifier.rid	J-9752-2012
person.identifier.scopus-author-id	19336967700
rcaap.rights	openAccess	pt_PT
rcaap.type	article	pt_PT
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relation.isAuthorOfPublication	20aa31b3-fa3c-42b7-82a4-e6b91c017f9c
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