Towards Realistic Statistical Models of the Grid Frequency

Increased share of renewable sources of energy in a power grid leads to larger deviations in grid frequency from the nominal value resulting in more challenging control and its modelling. In this paper we focus on the grid frequency for the power system of Great Britain because the large share of re...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on power systems 2023-01, Vol.38 (1), p.256-266
Main Author: Kraljic, David
Format: Article
Language:English
Subjects:
Fluctuations
frequency
Frequency response
Generators
Mathematical models
power system modeling
power system simulation
Renewable energy sources
Statistical models
Stochastic processes
Tail
Time-frequency analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Increased share of renewable sources of energy in a power grid leads to larger deviations in grid frequency from the nominal value resulting in more challenging control and its modelling. In this paper we focus on the grid frequency for the power system of Great Britain because the large share of renewables makes it a template for other power grids in the future and because it exhibits peculiar statistical properties, such as long-term correlations in fluctuations, periodicity, bi-modality, and heavy tails in the distribution of the grid frequency. By modifications of the swing equation and the underlying noise statistics, which we justify qualitatively and quantitatively, we reproduce these peculiar statistical properties. We apply our model to realistic frequency response services and show our predictions outperform a standard swing equation model.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2022.3163336