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Statistical Impact Evaluation of Stochastic Parameters Enhancing Solar Power Inherent Smoothing

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publication2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Number of pages6
ISBN (Electronic)978-1-5386-4505-5
ISBN (Print)978-1-5386-4506-2
Publication statusPublished - Oct 2018
Publication typeA4 Article in a conference publication
EventIEEE PES Innovative Smart Grid Technologies Conference Europe -
Duration: 1 Jan 1900 → …


ConferenceIEEE PES Innovative Smart Grid Technologies Conference Europe
Period1/01/00 → …


The characteristic variability of solar power brings potential threats to power system frequency stability by introducing short-term power fluctuations. A nationwide virtual PV (photovoltaic) system of 14 locations in Finland with interplant distances between 10 km to 1065 km has been analyzed at 1 Hz resolution by introducing stochastic variables i.e. power fluctuation, maximum power fluctuation and smoothing potential factor. The paper presents a multifold smoothing analysis based on geographical dispersion, ensemble size, temporal resolutions and interplant distances of PV plants. Empirical expressions are proposed using regression analysis, which represents a decay of smoothing potential factor for a decreasing time resolution. Aggregated strength of maximum power fluctuation of$N$number of PV plants decreases by a converging factor 1/-N and an ensemble of 14 PV plants follows the strict ramp rate limits for 97.5% of the total production time. Spatial correlation w.r.t interplant distances is also focused.


  • Fluctuations, Smoothing methods, Power smoothing, Uncertainty, Frequency control, Time-frequency analysis, Power system stability, Maximum power fluctuation, PV generation, Solar irradiance uncertainty, Ramp rate

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