Abstract
Grid edge intelligence has been of interest in both industrial and academic research spaces as the penetration level of distributed energy resources increases. This paper discusses the application of a framework that can perform techno-economic analyses for integrating intelligent autonomous controls into the distribution grid. The framework has been used to provide cost-benefit studies for two smart voltage regulator control algorithms that come as black-box applications. These applications are evaluated within the framework using quasistatic time-series simulations. Results are presented in terms of performance metrics and costs incurred for these two smart voltage regulator control techniques.
Original language | American English |
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Number of pages | 5 |
DOIs | |
State | Published - Feb 2019 |
Event | 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019 - Washington, United States Duration: 18 Feb 2019 → 21 Feb 2019 |
Conference
Conference | 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019 |
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Country/Territory | United States |
City | Washington |
Period | 18/02/19 → 21/02/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
NREL Publication Number
- NREL/CP-5D00-72386
Keywords
- cost-benefit analysis
- grid edge intelligence
- quasi-static time-series studies
- Smart voltage regulator