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Simulating intra-hourly wind power fluctuations on a power system level
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity. (Wind Power)
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.
2016 (English)In: Wind Energy, ISSN 1095-4244, E-ISSN 1099-1824Article in journal (Refereed) Submitted
Abstract [en]

In wind integration studies, sub-hourly, load synchronous wind data is often preferable. These datasets can be generated by a hybrid approach, combining hourly data from meteorological models with statistical modelling of the high-frequency fluctuations. This paper presents a method for simulating aggregated intra-hourly wind power fluctuations for a power system, taking into account the time-varying variance seen in measurements. Some key elements in the modelling were transformations to stationarity, the use of frequency domain techniques including a search for appropriate phase angles and an adjustment of the resulting time series in order to get correct hourly means. Generation data from Denmark and Germany with five and 15-minute temporal resolution were used for training models. It is shown that the distributions, autocorrelations and non-stationarity of simulated deviations from hourly means closely follow those of measurements. Power spectral densities and step change distributions agree well. Of particular importance is that the results are good also when the training and objective power systems are not the same. Because of the low computational cost, the model is advantageous for analysing many different scenarios of future wind deployment.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Wind power; Sub-hourly fluctuations; Simulation; FFT; Power system studies
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-302826OAI: oai:DiVA.org:uu-302826DiVA: diva2:967966
Available from: 2016-09-10 Created: 2016-09-10 Last updated: 2016-09-16
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