Statistical Analysis of Power System Frequency Measurements Based on Motif Theory
2021 IEEE Power and Energy Society General Meeting, PESGM 2021
; 2021-July, 2021.
Article
in English
| Scopus | ID: covidwho-1685127
ABSTRACT
Modern power systems have been experiencing unexpected challenges of system-wide power balance in the face of intermittent renewable energy generation and extreme societal events (e.g., pandemic). In principle, frequency is a global indicator of power system operational security, especially the shortage or surplus of active power. Inspired by the motif theory, we extract the variation patterns of large-scale historical frequency measurements from the complex network perspective. In particular, recent data records of the Great Britain (GB) power system are studied as an example. It is then found that, in this system, the frequency variation reveals anomalous patterns in 2018 and in the summer of 2020, which are consistent with the maximum generation/load percentage margin and the societal influences of COVID-19, respectively. It is finally concluded that the proposed method could serve as a powerful and trustworthy tool to perform big data analysis of operational characteristics. © 2021 IEEE.
motif; power system frequency; statistical analysis; variation pattern; Renewable energy resources; Statistical methods; Uncertainty analysis; Frequency measurements; Global indicators; Measurement-based; Operational security; Power; Power balance; Power system frequencies; Renewable energy generation; Complex networks
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Year:
2021
Document Type:
Article
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