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Correlations between large-scale solar and wind power in a future scenario for Sweden
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Physics. (Built Environment Energy Systems Group (BEESG))
2011 (English)In: IEEE Transactions on Sustainable Energy, ISSN 1949-3029, E-ISSN 1949-3037, Vol. 2, no 2, 177-184 p.Article in journal (Refereed) Published
Abstract [en]

Future power systems are likely to include large amounts of variable power generation such as solar and wind power. As a variable output has to be balanced by the power system's reserves, it is important to study the time variability, coincidence, and correlations between power sources. The effect of output smoothing from dispersion of wind power plants is well established, but there is a need to study more renewables in combination. This study analyses large-scale solar and wind power in a future scenario for Sweden, using climatic data covering eight years with an hourly resolution. It is shown that solar and wind power are negatively correlated on all time scales, from hourly to annual, but that the correlation is strongest for monthly totals. Combining solar and wind power reduces total variations in terms of standard deviation, but hour-to-hour variability is always higher with a larger share of solar power.

Place, publisher, year, edition, pages
2011. Vol. 2, no 2, 177-184 p.
National Category
Engineering and Technology
Research subject
Engineering Science
URN: urn:nbn:se:uu:diva-132905DOI: 10.1109/TSTE.2010.2101620ISI: 000208788200008OAI: oai:DiVA.org:uu-132905DiVA: diva2:359590
Available from: 2010-10-28 Created: 2010-10-28 Last updated: 2015-07-23Bibliographically approved
In thesis
1. System Studies and Simulations of Distributed Photovoltaics in Sweden
Open this publication in new window or tab >>System Studies and Simulations of Distributed Photovoltaics in Sweden
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Grid-connected photovoltaic (PV) capacity is increasing worldwide, mainly due to extensive subsidy schemes for renewable electricity generation. A majority of newly installed systems are distributed small-scale systems located in distribution grids, often at residential customers. Recent developments suggest that such distributed PV generation (PV-DG) could gain more interest in Sweden in the near future. With prospects of decreasing system prices, an extensive integration does not seem impossible.

In this PhD thesis the opportunities for utilisation of on-site PV generation and the consequences of a widespread introduction are studied. The specific aims are to improve modelling of residential electricity demand to provide a basis for simulations, to study load matching and grid interaction of on-site PV and to add to the understanding of power system impacts.

Time-use data (TUD) provided a realistic basis for residential load modelling. Both a deterministic and a stochastic approach for generating different types of end-use profiles were developed. The models are capable of realistically reproducing important electric load properties such as diurnal and seasonal variations, short time-scale fluctuations and random load coincidence.

The load matching capability of residential on-site PV was found to be low by default but possible to improve to some extent by different measures. Net metering reduces the economic effects of the mismatch and has a decisive impact on the production value and on the system sizes that are reasonable to install for a small-scale producer.

Impacts of large-scale PV-DG on low-voltage (LV) grids and on the national power system were studied. Power flow studies showed that voltage rise in LV grids is not a limiting factor for integration of PV-DG. Variability and correlations with large-scale wind power were determined using a scenario for large-scale building-mounted PV. Profound impacts on the power system were found only for the most extreme scenarios.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2010. 110 p.
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 781
Photovoltaics, Solar energy, Distributed generation, Load modelling, Time-use data, Markov chain, Power flow, Power system
National Category
Other Engineering and Technologies
Research subject
Engineering Science
urn:nbn:se:uu:diva-132907 (URN)978-91-554-7931-2 (ISBN)
Public defence
2010-12-10, Häggsalen, Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, 13:15 (English)
Felaktigt tryckt som Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 711Available from: 2010-11-18 Created: 2010-10-28 Last updated: 2011-03-21Bibliographically approved

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Widén, Joakim
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