dc.contributor.author | Härtel, Philipp | |
dc.contributor.author | Kristiansen, Martin | |
dc.contributor.author | Korpås, Magnus | |
dc.date.accessioned | 2018-03-06T09:53:07Z | |
dc.date.available | 2018-03-06T09:53:07Z | |
dc.date.created | 2018-02-23T11:15:53Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Energy Procedia. 2017, 137, 152-161. | nb_NO |
dc.identifier.issn | 1876-6102 | |
dc.identifier.uri | http://hdl.handle.net/11250/2488823 | |
dc.description.abstract | Due to the ongoing large-scale connection of non-dispatchable renewable energy sources to the power systems, short- to long-term planning models are challenged by an increasing level of variability and uncertainty. A key contribution of this article is to explore and assess the implications of different dimension reduction approaches for long-term Transmission Expansion Planning (TEP) models. For the purpose of this study, a selection of sampling and clustering techniques are introduced to compare the resulting sample errors with a variety of sampling sizes and two different scaling options of the original data set. Based on the generated samples, a range of TEP model runs are carried out to investigate their impacts on investment strategies and market operation in a case study reflecting offshore grid expansion in the North Sea region for a 2030 scenario. The evaluations show that dimension reduction techniques performing well in the sampling and clustering process do not necessarily produce reliable results in the large-scale TEP model. Future work should include ways of incorporating inter-temporal constraints to better capture medium-term dynamics and the operational flexibility in power system models. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Assessing the impact of sampling and clustering techniques on offshore grid expansion planning | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 152-161 | nb_NO |
dc.source.volume | 137 | nb_NO |
dc.source.journal | Energy Procedia | nb_NO |
dc.identifier.doi | 10.1016/j.egypro.2017.10.342 | |
dc.identifier.cristin | 1568175 | |
dc.description.localcode | © 2017 The Author(s). Published by Elsevier Ltd. Under a Creative Commons license. | nb_NO |
cristin.unitcode | 194,63,20,0 | |
cristin.unitname | Institutt for elkraftteknikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |