ADMS Test Bed: Defining a Use Case for Data Improvement for ADMS Deployment: Preprint
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
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.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Electricity (OE)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1532643
- Report Number(s):
- NREL/CP-5D00-72404
- 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
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