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Power grid resource adequacy can be difficult to ensure with high penetrations of intermittent renewable energy. We explore enhancing resource adequacy by overbuilding renewables while modeling statistical correlations in renewable power at different sites. Overbuilding allows production during times of low power, and exploiting statistical correlations can reduce power variability and, subsequently, reduce needed renewable capacity. In this work, we present a stochastic optimization problem to size renewables and expand transmission while minimizing the expected dispatch cost. Our method uses statistical profiles of renewable production and embeds network constraints using the DC power flow equations. We assess our method’s effects on feasibility, load shedding, locational marginal prices, and generator curtailment. On the IEEE 9-bus system, we found that anti-correlation between generators reduced generation capacity needs with sufficient transmission. On the IEEE 30-bus system, we found that the optimal solution required significant overbuilding and curtailment of renewables regardless of the marginal cost of schedulable generation.
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Fluctuations and correlations of transmission eigenchannels within diffusive media
We experimentally and numerically study the fluctuations and correlations of transmission eigenchannel profiles in diffusive media. We find that high-transmission profiles exhibit low realization-to-realization fluctuations and significant correlations exist between low-transmission profiles.
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- Award ID(s):
- 1905442
- PAR ID:
- 10564940
- Publisher / Repository:
- Optica Publishing Group
- Date Published:
- ISBN:
- 978-1-943580-91-0
- Page Range / eLocation ID:
- STu2H.7
- Format(s):
- Medium: X
- Location:
- San Jose, California
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1364/CLEO_SI.2021.STu2H.7
