研究目的
To compare the performance of satellite vs local estimations of GHI for detecting grid-constraint violations and estimating the variability at the grid connection point (GCP).
研究成果
Satellite estimations underestimate the variability of PV generation and may not reliably detect grid constraint violations, especially in partly cloudy and nearly clear-sky conditions. Local GHI estimations are necessary for accurate characterization of PV generation variability and grid constraint violations.
研究不足
The study is limited by the accuracy of pyranometer measurements and satellite estimations, the spatial and temporal resolution of satellite data, and the assumption of balanced three-phase systems.
1:Experimental Design and Method Selection:
The study compares GHI measurements from a dense network of pyranometers and satellite estimations for the same area, performing load flows at different levels of installed PV capacity.
2:Sample Selection and Data Sources:
GHI data from the HOPE measurement campaign and satellite estimations from HelioClim-3 v.
3:List of Experimental Equipment and Materials:
Pyranometers for local GHI measurements, satellite data for GHI estimations, and information about a medium and low voltage distribution system.
4:Experimental Procedures and Operational Workflow:
Load flow simulations are performed to compare nodal voltages, line currents, and power at the GCP using both pyranometer and satellite GHI data.
5:Data Analysis Methods:
Variability-underestimation factor and false positive/negative detections of grid constraint violations are analyzed.
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