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Title: ADMS Test Bed: Defining a Use Case for Data Improvement for ADMS Deployment: Preprint

Abstract

Advanced distribution management systems (ADMS) provide a suite of tools for meeting the needs of a modern grid - higher reliability and power quality, improved resiliency and security, lower costs and enhanced customer participation. Data quality has two-fold impact on ADMS adoption: 1. Data quality improvement may constitute up to 25% of ADMS deployment costs. 2. The accuracy of data and models used by the ADMS greatly affect the utility's ability to meet the operational objectives. Thus, quantifying the data quality requirements and its impact on performance is critical to reducing the overall cost of deployment, enabling wider adoption and ensuring that the ADMS performs as specified. The paper offers the motivation, methodology and evaluation strategy for filling 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:
1532643
Report Number(s):
NREL/CP-5D00-72404
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2019 IEEE Innovative Smart Grid Technologies Conference (IEEE 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. ADMS Test Bed: Defining a Use Case for Data Improvement for ADMS Deployment: Preprint. United States: N. p., 2019. Web.
Veda, Santosh, Baggu, Murali M, & Pratt, Annabelle. ADMS Test Bed: Defining a Use Case for Data Improvement for ADMS Deployment: Preprint. United States.
Veda, Santosh, Baggu, Murali M, and Pratt, Annabelle. Tue . "ADMS Test Bed: Defining a Use Case for Data Improvement for ADMS Deployment: Preprint". United States. https://www.osti.gov/servlets/purl/1532643.
@article{osti_1532643,
title = {ADMS Test Bed: Defining a Use Case for Data Improvement for ADMS Deployment: Preprint},
author = {Veda, Santosh and Baggu, Murali M and Pratt, Annabelle},
abstractNote = {Advanced distribution management systems (ADMS) provide a suite of tools for meeting the needs of a modern grid - higher reliability and power quality, improved resiliency and security, lower costs and enhanced customer participation. Data quality has two-fold impact on ADMS adoption: 1. Data quality improvement may constitute up to 25% of ADMS deployment costs. 2. The accuracy of data and models used by the ADMS greatly affect the utility's ability to meet the operational objectives. Thus, quantifying the data quality requirements and its impact on performance is critical to reducing the overall cost of deployment, enabling wider adoption and ensuring that the ADMS performs as specified. The paper offers the motivation, methodology and evaluation strategy for filling this critical gap.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {7}
}

Conference:
Other availability
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