Image credit: UnsplashAbstract
This paper presents a high-resolution solar radiation model essential for modern power systems with significant renewable energy integration. Given the unavailability or low temporal resolution of site-specific measurements, the model simulates high-resolution solar irradiation data necessary for planning and analysis. The model employs statistical methods, particularly Beta distributions, to generate realistic one-minute resolution solar irradiation time series, preserving both the probability density and autocorrelation structure of the measured data. Validation shows that the simulated data closely match the statistical properties of the actual measurements, providing a practical tool for scenarios where high-resolution solar data are scarce .
SST 2024 : Solar Irradiation High-Frequency Simulation Model
Presented by Josip Vasilj and a distinguished team from the University of Split, this talk will introduce a high-resolution solar irradiation model designed to simulate minute-by-minute solar data. This model is vital for locations where high-frequency solar data is unavailable, providing power system planners and operators with the tools to predict solar energy output accurately and manage grid operations more effectively.
- Innovative Methodology: Learn about the statistical methods, including Beta distributions and autoregressive models, that make this model capable of generating realistic high-frequency solar irradiation data.
- Model Validation: Discover how the simulated data closely mirrors actual measurements, making this model a practical alternative for power systems that rely on renewable energy sources like solar power.
- Applications: Understand the implications of this model for grid stability, energy storage integration, and demand response strategies, all of which are critical for advancing renewable energy adoption.
Date: 16-18 October 202
Location: Osijek, Croatia
For more details, visit Conference Website.
Damir Jakus
Head of Department of Power Engineering
My research interests include power system optimization and planning, RES integration, electricity market modeling.