Solar Integration National Dataset Toolkit
The Solar Integration National Dataset (SIND) Toolkit enables researchers to perform regional solar generation integration studies by providing modeled, coherent sub-hour solar power data, information, and tools. Sub-hour solar power data are used in the Western Wind and Solar Integration Study Phase 2 and the Eastern Renewable Generation Integration Study.
Variable generation integration studies have evolved from determining if high penetrations of variable generation are possible to evaluating the strategies of operating an electric power system with them. As system topology, operation practices, and power markets evolve, system operators will need to rapidly simulate new conditions. The foundations of effective studies are coherent datasets (for solar, wind, and load, among others) that accurately represent system conditions.
For integration studies, solar power data must:
Be time-synchronized to weather conditions during each time step and at each geographic location
Have sufficient temporal resolution to capture site-specific solar power output ramps
Have appropriate spatial-temporal correlations to capture intra-plant and plant-to-plant ramping correlations
Have sufficient geographic resolution to represent the relative solar power injection into the power system at each location.
Sub-hour solar power research leverages NREL's extensive experience in solar power analysis, deployment, and integration. The goals of the SIND Toolkit project are to:
Create a new national solar database with higher temporal and spatial resolution
Provide public access to this data to reduce the costs and risks of integrating solar power systems into the electric power grid.
For More Information
For more information about the SIND Toolkit, see the following resources:
Solar Power Data for Integration Studies
The Solar Power Data for Integration Studies consist of one year (2006) of 5-minute solar power and hourly day-ahead forecasts for approximately 6,000 simulated PV plants in the U.S.
NREL Develops Sub-Hour Solar Power Data Set
This fact sheet explains how NREL data will help utilities incorporate solar energy into their electric power systems.
Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis
High-penetration renewable integration studies need high-quality solar power data with spatial-temporal correlations that are representative of a real system. This paper summarizes research that led to the development of an algorithm for generating coherent sub-hour datasets that span distances ranging from 10 to 4,000 km.