A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe
Malvaldi, A. and Weiss, S. and Infield, D. and Browell, J. and Leahy, P. and Foley, A. M. (2017) A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe. Wind Energy. ISSN 1095-4244 (https://doi.org/10.1002/we.2095)
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Abstract
Studies have shown that a large geographic spread of installed capacity can reduce wind power variability and smooth production. This could be achieved by using electricity interconnections and storage systems. However, interconnections and storage are not totally flexible, so it is essential to understand the wind power correlation in order to address power system constraints in systems with large and growing wind power penetrations. In this study the spatial and temporal correlation of wind power generation across several European Union countries was examined to understand how wind ‘travels’ across Europe. Three years of historical hourly wind power generation data from ten countries were analysed. The results of the analysis were then compared with two other studies focused on the Nordic region and the United States of America. The findings show that similar general correlation characteristics do exist between European country pairs. This is of particular importance when planning and operating interconnector flows, storage optimisation and cross-border power trading.
ORCID iDs
Malvaldi, A. ORCID: https://orcid.org/0000-0003-4378-9024, Weiss, S. ORCID: https://orcid.org/0000-0002-3486-7206, Infield, D., Browell, J. ORCID: https://orcid.org/0000-0002-5960-666X, Leahy, P. and Foley, A. M.;-
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Item type: Article ID code: 59691 Dates: DateEvent2 March 2017Published30 January 2017AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering
Technology > Engineering (General). Civil engineering (General) > Environmental engineeringDepartment: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 03 Feb 2017 10:36 Last modified: 18 Nov 2024 21:11 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/59691