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

doi:10.1109/ISGT.2019.8791607

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

Eaton

Research output: Contribution to conference › Paper › peer-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 language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/ISGT.2019.8791607 https://doi.org/10.1109/ISGT.2019.8791607
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
Country/Territory	United States
City	Washington
Period	18/02/19 → 21/02/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

NLR 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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Ghosh, S., Ding, F., Simpson, J., Harris, J., Baggu, M., Aghamolki, H., & Ren, W. (2019). Techno-Economic Analysis for Grid Edge Intelligence: A Preliminary Study on Smart Voltage Regulator Controls. Paper presented at 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019, Washington, United States. https://doi.org/10.1109/ISGT.2019.8791607, https://doi.org/10.1109/ISGT.2019.8791607

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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.",

keywords = "cost-benefit analysis, grid edge intelligence, quasi-static time-series studies, Smart voltage regulator",

author = "Shibani Ghosh and Fei Ding and Jeffrey Simpson and James Harris and Murali Baggu and Hossein Aghamolki and Wei Ren",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019 ; Conference date: 18-02-2019 Through 21-02-2019",

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month = feb,

doi = "10.1109/ISGT.2019.8791607",

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Ghosh, S , Ding, F, Simpson, J, Harris, J, Baggu, M, Aghamolki, H & Ren, W 2019, 'Techno-Economic Analysis for Grid Edge Intelligence: A Preliminary Study on Smart Voltage Regulator Controls', Paper presented at 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019, Washington, United States, 18/02/19 - 21/02/19. https://doi.org/10.1109/ISGT.2019.8791607, https://doi.org/10.1109/ISGT.2019.8791607

Techno-Economic Analysis for Grid Edge Intelligence: A Preliminary Study on Smart Voltage Regulator Controls. / Ghosh, Shibani ; Ding, Fei; Simpson, Jeffrey et al.
2019. Paper presented at 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019, Washington, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Techno-Economic Analysis for Grid Edge Intelligence: A Preliminary Study on Smart Voltage Regulator Controls

AU - Ghosh, Shibani

AU - Ding, Fei

AU - Simpson, Jeffrey

AU - Harris, James

AU - Baggu, Murali

AU - Aghamolki, Hossein

AU - Ren, Wei

PY - 2019/2

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AB - 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.

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KW - grid edge intelligence

KW - quasi-static time-series studies

KW - Smart voltage regulator

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DO - 10.1109/ISGT.2019.8791607

M3 - Paper

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T2 - 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019

Y2 - 18 February 2019 through 21 February 2019

ER -

Ghosh S , Ding F, Simpson J, Harris J, Baggu M, Aghamolki H et al.. Techno-Economic Analysis for Grid Edge Intelligence: A Preliminary Study on Smart Voltage Regulator Controls. 2019. Paper presented at 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019, Washington, United States. doi: 10.1109/ISGT.2019.8791607, 10.1109/ISGT.2019.8791607

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

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