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Article

Statistical Modeling of 15-Min Changes of Production from Renewable Sources

by
Dubravko Sabolić
1,*,
Lidija Tepeš Golubić
2 and
Goran Slipac
3
1
Croatian Transmission System Operator (HOPS), Kupska 4, HR-10000 Zagreb, Croatia
2
Zagreb University of Applied Sciences, Vrbik 8, HR-10000 Zagreb, Croatia
3
HRO CIGRÉ, Berislavićeva 6, HR-10000 Zagreb, Croatia
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(22), 11913; https://doi.org/10.3390/app152211913 (registering DOI)
Submission received: 17 October 2025 / Revised: 3 November 2025 / Accepted: 7 November 2025 / Published: 9 November 2025

Abstract

In this paper, 15-min production data from renewable energy sources (RES), aggregated by technology (onshore wind, offshore wind, solar) and by country (Germany, Austria, Hungary), are analyzed. The concept of a confidence interval is introduced as a parameter for practical use in power-system management. In probabilistic dimensioning of the FRR (Frequency Restoration Reserve; sometimes also called “secondary reserve”), it is necessary to ensure reserve sufficiency for a high percentage of time p, in the order of 99.9%. The confidence interval is specified by upper and lower deviation limits, expressed as percentages of the total installed capacity of the observed RES system, not to be exceeded with a probability greater than 1p. The concept of the “regulation multiplier” is also considered, which essentially indicates how many additional megawatts of RES capacity can be installed for each added megawatt of FRR capacity, ceteris paribus. Finally, a previously experimentally developed regulation-multiplier model is verified by replicating the original research on a new dataset used in this paper.
Keywords: renewable energy sources; measured system-wide data analysis; demand for secondary reserve; confidence interval; power system renewable energy sources; measured system-wide data analysis; demand for secondary reserve; confidence interval; power system

Share and Cite

MDPI and ACS Style

Sabolić, D.; Tepeš Golubić, L.; Slipac, G. Statistical Modeling of 15-Min Changes of Production from Renewable Sources. Appl. Sci. 2025, 15, 11913. https://doi.org/10.3390/app152211913

AMA Style

Sabolić D, Tepeš Golubić L, Slipac G. Statistical Modeling of 15-Min Changes of Production from Renewable Sources. Applied Sciences. 2025; 15(22):11913. https://doi.org/10.3390/app152211913

Chicago/Turabian Style

Sabolić, Dubravko, Lidija Tepeš Golubić, and Goran Slipac. 2025. "Statistical Modeling of 15-Min Changes of Production from Renewable Sources" Applied Sciences 15, no. 22: 11913. https://doi.org/10.3390/app152211913

APA Style

Sabolić, D., Tepeš Golubić, L., & Slipac, G. (2025). Statistical Modeling of 15-Min Changes of Production from Renewable Sources. Applied Sciences, 15(22), 11913. https://doi.org/10.3390/app152211913

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