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Title: Defining a Use Case for ADMS Testbed: Data Quality Requirements for ADMS Deployment

Abstract

Advanced distribution management systems (ADMS) provide a suite of tools to meet the needs of a modern grid: increased reliability and power quality, improved resiliency and security, reduced costs, and enhanced customer participation. A critical challenge that utilities face with adoption of ADMS is the quality of models and data that the ADMS uses for making control decisions. Data quality has a two-fold impact on ADMS adoption: 1. Data quality improvement might constitute up to 25% of ADMS deployment costs. 2. The accuracy of data and models used by the ADMS affects the utility's ability to meet its operational objectives. Thus, quantifying the data quality requirements and its impact on performance is critical to reducing the overall cost of deployment, enabling increased adoption and ensuring that the ADMS performs as specified. This paper offers the motivation, methodology, and evaluation strategy to fill this critical gap.

Authors:
 [1];  [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1566044
Report Number(s):
NREL/CP-5D00-74947
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 18-21 February 2019, Washington, D.C.
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; ADMS; data quality; performance; ADMS test bed; measurement density

Citation Formats

Veda, Santosh, Baggu, Murali M, and Pratt, Annabelle. Defining a Use Case for ADMS Testbed: Data Quality Requirements for ADMS Deployment. United States: N. p., 2019. Web. doi:10.1109/ISGT.2019.8791646.
Veda, Santosh, Baggu, Murali M, & Pratt, Annabelle. Defining a Use Case for ADMS Testbed: Data Quality Requirements for ADMS Deployment. United States. doi:10.1109/ISGT.2019.8791646.
Veda, Santosh, Baggu, Murali M, and Pratt, Annabelle. Thu . "Defining a Use Case for ADMS Testbed: Data Quality Requirements for ADMS Deployment". United States. doi:10.1109/ISGT.2019.8791646.
@article{osti_1566044,
title = {Defining a Use Case for ADMS Testbed: Data Quality Requirements for ADMS Deployment},
author = {Veda, Santosh and Baggu, Murali M and Pratt, Annabelle},
abstractNote = {Advanced distribution management systems (ADMS) provide a suite of tools to meet the needs of a modern grid: increased reliability and power quality, improved resiliency and security, reduced costs, and enhanced customer participation. A critical challenge that utilities face with adoption of ADMS is the quality of models and data that the ADMS uses for making control decisions. Data quality has a two-fold impact on ADMS adoption: 1. Data quality improvement might constitute up to 25% of ADMS deployment costs. 2. The accuracy of data and models used by the ADMS affects the utility's ability to meet its operational objectives. Thus, quantifying the data quality requirements and its impact on performance is critical to reducing the overall cost of deployment, enabling increased adoption and ensuring that the ADMS performs as specified. This paper offers the motivation, methodology, and evaluation strategy to fill this critical gap.},
doi = {10.1109/ISGT.2019.8791646},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}

Conference:
Other availability
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