2023/08/31 by Xinyi Wen, Wen, Xinyi, Mehrnaz Anvari +9 · 1 citation
Energy · Engineering · #Electric Power System Optimization #Energy Load and Power Forecasting #FOS: Electrical engineering #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Power Systems and Renewable Energy #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2308.16842
openalex publication_date 2023/08/31 · openalex created_date 2023/09/02 · openalex updated_date 2026/07/28
The power-grid frequency reflects the balance between electricity supply and demand. Measuring the frequency and its variations allows monitoring of the power balance in the system and, thus, the grid stability. In addition, gaining insight into the characteristics of frequency variations and defining precise evaluation metrics for these variations enables accurate assessment of the performance of forecasts and synthetic models of the power-grid frequency. Previous work was limited to a few geographical regions and did not quantify the observed effects. In this contribution, we analyze and quantify the statistical and stochastic properties of self-recorded power-grid frequency data from various synchronous areas in Asia, Australia, and Europe at a resolution of one second. Revealing non-standard statistics of both empirical and synthetic frequency data, we effectively constrain the space of possible (stochastic) power-grid frequency models and share a range of analysis tools to benchmark any model or characterize empirical data. Furthermore, we emphasize the need to analyze data from a large range of synchronous areas to obtain generally applicable models.