Large-Scale Weather Correlations for a Possible Interconnection of North American Power Grids
This paper introduces a strategy for analyzing the correlations among large-scale solar power, wind power, as well as identifying patterns and detailed renewable power generation from weather data. The aim is to investigate the potential advantages of connecting neighboring, yet currently disconnected grids by assessing the feasibility of transferring renewable power between them. The case study is on two of the largest grids in North America and the potential of joining them. The insight gained from this research is aimed at reducing the overall operation cost by taking advantage of renewable energy trading between the two large grids as well as enhancing grid resiliency and reliability in the pursuit of more sustainable energy in the future.
Authors
- Thomas J. Overbye (ORCID: https://orcid.org/0000-0002-2382-2811)
- Farnaz Safdarian (ORCID: https://orcid.org/0000-0002-6370-3454)
- Jordan Cook (ORCID: https://orcid.org/0000-0002-3145-270X)
- Jonathan Snodgrass (ORCID: https://orcid.org/0000-0003-2305-8136)
Institutions
- Texas A&M University (US)
Publication Details
- Published
- 2024-10-13
- DOI
- https://doi.org/10.1109/naps61145.2024.10741720
- Primary Topic
- Thermal Analysis in Power Transmission
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Advanced Research Projects Agency - Energy
- Power Systems Engineering Research Center