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Updated: Jun 25, 2026

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

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A High-Resolution Power Grid Frequency Dataset from Five Solar Sites Across England in April 2023.

Maitreyee Dey^1,2, Clarke V Simmons³

¹London South Bank University, 103 Borough Road, London, SE1 0AA, United Kingdom. deym5@lsbu.ac.uk.

Scientific Data

|June 23, 2026

Summary

This study introduces the Power Grid Frequency Data (PGFD), a high-resolution UK dataset. This resource aids in analyzing power grid stability and improving control strategies for a low-carbon future.

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Area of Science:

Electrical Engineering
Power Systems Analysis
Renewable Energy Integration

Background:

Power grid stability relies on maintaining a standard frequency (50/60 Hz) between electrical supply and demand.
Precise frequency monitoring is crucial for reliable electricity network operations worldwide.

Purpose of the Study:

To present the Power Grid Frequency Data (PGFD), a novel high-resolution dataset of UK grid frequency.
To provide researchers with a valuable resource for analyzing power system dynamics and enhancing control strategies.

Main Methods:

Collected high-resolution UK grid frequency data from five solar sites in England over April 2023.
Achieved a temporal resolution of 10 ms, a 100x improvement over standard one-second interval recordings.
Compiled a dataset comprising 1.3 billion data records.

Main Results:

The PGFD offers unprecedented temporal detail for grid frequency analysis.
The dataset enables advanced research into anomalies, transient events, and frequency oscillations.
Facilitates a deeper understanding of grid behavior and the assessment of frequency stability.

Conclusions:

The open availability of PGFD supports research in power system stability and control.
This dataset is instrumental in advancing the transition towards a low-carbon energy future.
Improved frequency analysis capabilities are essential for integrating renewable energy sources.