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001     859319
005     20210130000232.0
024 7 _ |a 10.1109/ISGTEurope.2018.8571793
|2 doi
037 _ _ |a FZJ-2019-00191
100 1 _ |a Schafer, Benjamin
|0 P:(DE-HGF)0
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|e Corresponding author
111 2 _ |a 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
|c Sarajevo
|d 2018-10-21 - 2018-10-25
|w Bosnia and Herzegovina
245 _ _ |a Isolating the Impact of Trading on Grid Frequency Fluctuationsy
260 _ _ |c 2018
|b IEEE
300 _ _ |a 1-5
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a Contribution to a conference proceedings
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520 _ _ |a To ensure reliable operation of power grids, their frequency shall stay within strict bounds. Multiple sources of disturbances cause fluctuations of the grid frequency, ranging from changing demand over volatile feed-in to energy trading. Here, we analyze frequency time series from the continental European grid in 2011 and 2017 as a case study to isolate the impact of trading. We find that trading at typical trading intervals such as full hours modifies the frequency fluctuation statistics. While particularly large frequency deviations in 2017 are not as frequent as in 2011, large deviations are more likely to occur shortly after the trading instances. A comparison between the two years indicates that trading at shorter intervals might be beneficial for frequency quality and grid stability, because particularly large fluctuations are substantially diminished. Furthermore, we observe that the statistics of the frequency fluctuations do not follow Gaussian distributions but are better described using heavy-tailed and asymmetric distributions, for example Levy-stable distributions. Comparing intervals without trading to those with trading instances indicates that frequency deviations near the trading times are distributed more widely and thus extreme deviations are orders of magnitude more likely. Finally, we briefly review a stochastic analysis that allows a quantitative description of power grid frequency fluctuations.
536 _ _ |a 153 - Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security (POF3-153)
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536 _ _ |a VH-NG-1025 - Helmholtz Young Investigators Group "Efficiency, Emergence and Economics of future supply networks" (VH-NG-1025_20112014)
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536 _ _ |a CoNDyNet - Kollektive Nichtlineare Dynamik Komplexer Stromnetze (PIK_082017)
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588 _ _ |a Dataset connected to CrossRef Conference
700 1 _ |a Timme, Marc
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Witthaut, Dirk
|0 P:(DE-Juel1)162277
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773 _ _ |a 10.1109/ISGTEurope.2018.8571793
856 4 _ |u https://juser.fz-juelich.de/record/859319/files/08571793.pdf
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909 C O |o oai:juser.fz-juelich.de:859319
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
|l Technologie, Innovation und Gesellschaft
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914 1 _ |y 2018
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980 _ _ |a contrib
980 _ _ |a VDB
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