Kruse, Johannes ORCID: 0000-0002-3478-3379, Schafer, Benjamin ORCID: 0000-0003-1607-9748 and Witthaut, Dirk (2020). Predictability of Power Grid Frequency. IEEE Access, 8. S. 149435 - 149447. PISCATAWAY: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. ISSN 2169-3536

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Abstract

The power grid frequency is the central observable in power system control, as it measures the balance of electrical supply and demand. A reliable frequency forecast can facilitate rapid control actions and may thus greatly improve power system stability. Here, we develop a weighted-nearest-neighbour (WNN) predictor to investigate how predictable the frequency trajectories are. Our forecasts for up to one hour are more precise than averaged daily profiles and could increase the efficiency of frequency control actions. Furthermore, we gain an increased understanding of the specific properties of different synchronous areas by interpreting the optimal prediction parameters (number of nearest neighbours, the prediction horizon, etc.) in terms of the physical system. Finally, prediction errors indicate the occurrence of exceptional external perturbations. Overall, we provide a diagnostics tool and an accurate predictor of the power grid frequency time series, allowing better understanding of the underlying dynamics.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Kruse, JohannesUNSPECIFIEDorcid.org/0000-0002-3478-3379UNSPECIFIED
Schafer, BenjaminUNSPECIFIEDorcid.org/0000-0003-1607-9748UNSPECIFIED
Witthaut, DirkUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-350316
DOI: 10.1109/ACCESS.2020.3016477
Journal or Publication Title: IEEE Access
Volume: 8
Page Range: S. 149435 - 149447
Date: 2020
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Place of Publication: PISCATAWAY
ISSN: 2169-3536
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
FORECASTMultiple languages
Computer Science, Information Systems; Engineering, Electrical & Electronic; TelecommunicationsMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/35031

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