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Assessing the impact of sampling and clustering techniques on offshore grid expansion planning

: Härtel, P.; Kristiansen, M.; Korpas, M.

Volltext ()

Energy Procedia 137 (2017), S.152-161
ISSN: 1876-6102
Deep Sea Offshore Wind R&D Conference (DeepWind) <14, 2017, Trondheim>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
Zukunftsfähige Stromnetze; 0325576H; NSON
North Seas Offshore Network
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IWES ()
transmission expansion planning; sampling; clustering; dimension reduction; offshore grid

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.