Techno-Economic Analysis for Grid Edge Intelligence: A Preliminary Study on Smart Voltage Regulator Controls

Shibani Ghosh, Fei Ding, Jeffrey Simpson, James Harris, Murali Baggu, Hossein Aghamolki, Wei Ren

Research output: Contribution to conferencePaperpeer-review

3 Scopus Citations

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 languageAmerican English
Number of pages5
DOIs
StatePublished - Feb 2019
Event2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019 - Washington, United States
Duration: 18 Feb 201921 Feb 2019

Conference

Conference2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019
Country/TerritoryUnited States
CityWashington
Period18/02/1921/02/19

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

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