Home > Publications database > Applications and developments of stochastic processes in power-grid frequency measurements: A data-driven study |
Conference Presentation (Invited) | FZJ-2020-05301 |
2020
Abstract: Power-grid frequency is a key measurement of stability of power-grid systems. It comprises the balance of power generation and consumption, electricity market exchanges, and control mechanism. Power-grid frequency, as stochastic process, has been scarcely studied. We will present the developments in power-grid frequency data collection, the design of a N-dimensional non-parametric estimator for time-continuous Markov processed, and the design of a computationally efficient Multifractal Detrended Fluctuation Analysis (MFDFA) algorithm. Lastly, we will report on the design of a surrogate stochastic model for power-grid frequency via a fractional Ornstein–Uhlenbeck process, the application of a Hurst index and a volatility estimator, and the limitations due to multifractional and time-and-space coloured noise.
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