Assessing the impact of sampling and clustering techniques on offshore grid expansion planning. (October 2017)

• Record Type: Journal Article
• Authors: Härtel, Philipp; Kristiansen, Martin; Korpås, Magnus
• Is Part Of: Energy procedia. Volume 137(2017)
• Page Start: 152
• Page End: 161
• Publication Date: 2017-10
• Subjects: Transmission Expansion Planning -- Sampling -- Clustering -- Dimension Reduction -- Offshore grids; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2017.10.342
• Languages: English
• ISSNs: 1876-6102

Abstract

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.