Developing Use Cases for Evaluation of ADMS Applications to Accelerate Technology Adoption: Preprint
Grid modernization for the distribution systems comprise of the ability to effectively monitor and manage unplanned events while ensuring reliable operations. Integration of Distributed Energy Resources (DERs) and proliferation of autonomous smart controllers like microgrids and smart inverters in the distribution networks challenge the status quo of distribution system operations. Advanced Distribution Management System (ADMS) technologies are being increasingly deployed to manage the complexities of operating distribution systems. The ability to evaluate the ADMS applications in specific utility environments and for future scenarios will accelerate wider adoption of the ADMS and will lower the risks and costs of their implementation. This paper addresses the first step - identify and define the use cases for evaluating these applications. The applications that are selected for this discussion include Volt-VAr Optimization (VVO), Fault Location Isolation and Service Restoration (FLISR), Online Power Flow (OLPF)/Distribution System State Estimation (DSSE) and Market Participation. A technical description and general operational requirements for each of these applications is presented. The test scenarios that are most relevant to the utility challenges are also addressed.
Citation Formats
TY - DATA
AB - Grid modernization for the distribution systems comprise of the ability to effectively monitor and manage unplanned events while ensuring reliable operations. Integration of Distributed Energy Resources (DERs) and proliferation of autonomous smart controllers like microgrids and smart inverters in the distribution networks challenge the status quo of distribution system operations. Advanced Distribution Management System (ADMS) technologies are being increasingly deployed to manage the complexities of operating distribution systems. The ability to evaluate the ADMS applications in specific utility environments and for future scenarios will accelerate wider adoption of the ADMS and will lower the risks and costs of their implementation. This paper addresses the first step - identify and define the use cases for evaluating these applications. The applications that are selected for this discussion include Volt-VAr Optimization (VVO), Fault Location Isolation and Service Restoration (FLISR), Online Power Flow (OLPF)/Distribution System State Estimation (DSSE) and Market Participation. A technical description and general operational requirements for each of these applications is presented. The test scenarios that are most relevant to the utility challenges are also addressed.
AU - Veda, Santosh
A2 - Martin, Maurice
A3 - Baggu, Murali
A4 - Wu, Hongyu
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO -
KW - Power electronics and inverters
KW - Power electronics
KW - Inverters
KW - Battery energy storage
KW - Solar
KW - Photovoltaics
KW - PV
KW - Diesel generators
KW - Other liquid-fuel generators
KW - Power plant controls
KW - SCADA
KW - Maintenance and operations
KW - Operations
KW - Maintenance
KW - Commissioning
KW - Case studies
KW - Performance
KW - Community engagement
KW - Tribal engagement
KW - Stakeholder engagement
LA - English
DA - 2017/05/01
PY - 2017
PB - NLR
T1 - Developing Use Cases for Evaluation of ADMS Applications to Accelerate Technology Adoption: Preprint
UR - https://cmix.openei.org/submissions/59
ER -
Veda, Santosh, et al. Developing Use Cases for Evaluation of ADMS Applications to Accelerate Technology Adoption: Preprint. NLR, 1 May, 2017, C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/59.
Veda, S., Martin, M., Baggu, M., & Wu, H. (2017). Developing Use Cases for Evaluation of ADMS Applications to Accelerate Technology Adoption: Preprint. [Data set]. C-MIX - Community Microgrid Information Exchange. NLR. https://cmix.openei.org/submissions/59
Veda, Santosh, Maurice Martin, Murali Baggu, and Hongyu Wu. Developing Use Cases for Evaluation of ADMS Applications to Accelerate Technology Adoption: Preprint. NLR, May, 1, 2017. Distributed by C-MIX - Community Microgrid Information Exchange. https://cmix.openei.org/submissions/59
@misc{CMIX_Dataset_59,
title = {Developing Use Cases for Evaluation of ADMS Applications to Accelerate Technology Adoption: Preprint},
author = {Veda, Santosh and Martin, Maurice and Baggu, Murali and Wu, Hongyu },
abstractNote = {Grid modernization for the distribution systems comprise of the ability to effectively monitor and manage unplanned events while ensuring reliable operations. Integration of Distributed Energy Resources (DERs) and proliferation of autonomous smart controllers like microgrids and smart inverters in the distribution networks challenge the status quo of distribution system operations. Advanced Distribution Management System (ADMS) technologies are being increasingly deployed to manage the complexities of operating distribution systems. The ability to evaluate the ADMS applications in specific utility environments and for future scenarios will accelerate wider adoption of the ADMS and will lower the risks and costs of their implementation. This paper addresses the first step - identify and define the use cases for evaluating these applications. The applications that are selected for this discussion include Volt-VAr Optimization (VVO), Fault Location Isolation and Service Restoration (FLISR), Online Power Flow (OLPF)/Distribution System State Estimation (DSSE) and Market Participation. A technical description and general operational requirements for each of these applications is presented. The test scenarios that are most relevant to the utility challenges are also addressed.},
url = {https://cmix.openei.org/submissions/59},
year = {2017},
howpublished = {C-MIX - Community Microgrid Information Exchange, NLR, https://cmix.openei.org/submissions/59},
note = {Accessed: 2026-10-11}
}
Details
Data from May 1, 2017
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
NLR
Contact
Maurice Martin

