skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Smart-DS: Synthetic Models for Advanced, Realistic Testing: Distribution Systems and Scenarios

Abstract

The National Renewable Energy Laboratory (NREL) in collaboration with Massachusetts Institute of Technology (MIT), Universidad Pontificia Comillas (Comillas-IIT, Spain) and GE Grid Solutions, is working on an ARPA-E GRID DATA project, titled Smart-DS, to create: 1) High-quality, realistic, synthetic distribution network models, and 2) Advanced tools for automated scenario generation based on high-resolution weather data and generation growth projections. Through these advancements, the Smart-DS project is envisioned to accelerate the development, testing, and adoption of advanced algorithms, approaches, and technologies for sustainable and resilient electric power systems, especially in the realm of U.S. distribution systems. This talk will present the goals and overall approach of the Smart-DS project, including the process of creating the synthetic distribution datasets using reference network model (RNM) and the comprehensive validation process to ensure network realism, feasibility, and applicability to advanced use cases. The talk will provide demonstrations of early versions of synthetic models, along with the lessons learnt from expert engagements to enhance future iterations. Finally, the scenario generation framework, its development plans, and co-ordination with GRID DATA repository teams to house these datasets for public access will also be discussed.

Authors:
ORCiD logo [1]; ORCiD logo [1];  [1];  [1];  [1];  [1];  [1];  [1]; ORCiD logo [1];  [2];  [3];  [3];  [3];  [3];  [2];  [2];  [2];  [4];  [4]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. MIT
  3. IIT Comillas
  4. GE Grid Solutions
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1375108
Report Number(s):
NREL/PR-5D00-68764
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the Federal Energy Regulatory Commission (FERC) Technical Conference on Increasing Real-Time and Day-Ahead Market Efficiency through Improved Software, 26-28 June 2017, Washington, D.C.
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; synthetic distribution system datasets; standard scenarios; public data for distribution; grid data; reference network model

Citation Formats

Krishnan, Venkat K, Palmintier, Bryan S, Hodge, Brian S, Hale, Elaine T, Elgindy, Tarek, Bugbee, Bruce, Rossol, Michael N, Lopez, Anthony J, Krishnamurthy, Dheepak, Vergara, Claudio, Domingo, Carlos Mateo, Postigo, Fernando, de Cuadra, Fernando, Gomez, Tomas, Duenas, Pablo, Luke, Max, Li, Vivian, Vinoth, Mohan, and Kadankodu, Sree. Smart-DS: Synthetic Models for Advanced, Realistic Testing: Distribution Systems and Scenarios. United States: N. p., 2017. Web.
Krishnan, Venkat K, Palmintier, Bryan S, Hodge, Brian S, Hale, Elaine T, Elgindy, Tarek, Bugbee, Bruce, Rossol, Michael N, Lopez, Anthony J, Krishnamurthy, Dheepak, Vergara, Claudio, Domingo, Carlos Mateo, Postigo, Fernando, de Cuadra, Fernando, Gomez, Tomas, Duenas, Pablo, Luke, Max, Li, Vivian, Vinoth, Mohan, & Kadankodu, Sree. Smart-DS: Synthetic Models for Advanced, Realistic Testing: Distribution Systems and Scenarios. United States.
Krishnan, Venkat K, Palmintier, Bryan S, Hodge, Brian S, Hale, Elaine T, Elgindy, Tarek, Bugbee, Bruce, Rossol, Michael N, Lopez, Anthony J, Krishnamurthy, Dheepak, Vergara, Claudio, Domingo, Carlos Mateo, Postigo, Fernando, de Cuadra, Fernando, Gomez, Tomas, Duenas, Pablo, Luke, Max, Li, Vivian, Vinoth, Mohan, and Kadankodu, Sree. 2017. "Smart-DS: Synthetic Models for Advanced, Realistic Testing: Distribution Systems and Scenarios". United States. doi:. https://www.osti.gov/servlets/purl/1375108.
@article{osti_1375108,
title = {Smart-DS: Synthetic Models for Advanced, Realistic Testing: Distribution Systems and Scenarios},
author = {Krishnan, Venkat K and Palmintier, Bryan S and Hodge, Brian S and Hale, Elaine T and Elgindy, Tarek and Bugbee, Bruce and Rossol, Michael N and Lopez, Anthony J and Krishnamurthy, Dheepak and Vergara, Claudio and Domingo, Carlos Mateo and Postigo, Fernando and de Cuadra, Fernando and Gomez, Tomas and Duenas, Pablo and Luke, Max and Li, Vivian and Vinoth, Mohan and Kadankodu, Sree},
abstractNote = {The National Renewable Energy Laboratory (NREL) in collaboration with Massachusetts Institute of Technology (MIT), Universidad Pontificia Comillas (Comillas-IIT, Spain) and GE Grid Solutions, is working on an ARPA-E GRID DATA project, titled Smart-DS, to create: 1) High-quality, realistic, synthetic distribution network models, and 2) Advanced tools for automated scenario generation based on high-resolution weather data and generation growth projections. Through these advancements, the Smart-DS project is envisioned to accelerate the development, testing, and adoption of advanced algorithms, approaches, and technologies for sustainable and resilient electric power systems, especially in the realm of U.S. distribution systems. This talk will present the goals and overall approach of the Smart-DS project, including the process of creating the synthetic distribution datasets using reference network model (RNM) and the comprehensive validation process to ensure network realism, feasibility, and applicability to advanced use cases. The talk will provide demonstrations of early versions of synthetic models, along with the lessons learnt from expert engagements to enhance future iterations. Finally, the scenario generation framework, its development plans, and co-ordination with GRID DATA repository teams to house these datasets for public access will also be discussed.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2017,
month = 8
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • This presentation provides an overview of full-scale, high-quality, synthetic distribution system data set(s) for testing distribution automation algorithms, distributed control approaches, ADMS capabilities, and other emerging distribution technologies.
  • This presentation provides a Smart-DS project overview and status update for the ARPA-e GRID DATA program meeting 2017, including distribution systems, models, and scenarios, as well as opportunities for GRID DATA collaborations.
  • The results of dynamic sled track performance testing of advanced tandem configuration shaped-charge warheads against multiple-reactive-element tank armors are presented. Tandem configurations utilizing both currently fielded and experimental shaped-charge warheads were tested. Sled velocities used were between 400 and 1100 ft/s (Mach number 0.35 to 0.95), typical of the terminal approach velocity of TOW-type antitank missiles. High-speed motion pictures (5000 frames/s) of the sled in operation and a typical mock missile'' warhead package approaching the target are shown. Details of the sled design and fabrication and of the warhead package design and fabrication are presented. Sled track instrumentation is discussed.more » This instrumentation includes foil make/break switches and associated time interval meters (TIM) and digital delay units (DDU), magnetic Hall-effect transistors for measuring sled trajectory, and flash x-rays (FXR). Methods for timing the x-rays are presented. Schematic functional diagrams of the experimental setups are also given. Evidence of the ability to accurately time the delay between precursor and main warheads for even very long time delays are presented. FXR pictures illustrate the dynamics of the interaction of the jets with various target elements. The interaction dynamics of the jets is discussed in relation to the overall penetration performance of the tandem warhead. The use of x-ray fluorescence spectroscopy to help diagnose interaction dynamics is illustrated. The results of a test utilizing the missile propulsion rocket motor as a blast shield is presented in this paper. 2 refs., 22 figs.« less
  • Infrared surveys for municipal electric-power distribution systems, which are often built underground and which use different components from the bulk power system, require a portable and ``smart`` infrared instrument. In methodology development, the authors have focused on load-break elbows, which are designed to literally unplug the power to a shopping mall or a residential neighborhood. Load-break elbows contain metal conductors inside a thick layer of rubber or plastic insulation. The insulation is used for electrical isolation, but it also has thermal insulation properties. Because of the thermal insulation, temperature measured on the surface by an infrared camera need to bemore » transformed into internal temperatures in order to assess the interior condition of the component. Heat conducted into the elbow from the transformer it is mounted on is one of several effects that they have taken into account by mathematical modelling. In this way one can tell if a hot spot adjacent to the transformer is caused by the transformer or by a poor electrical contact inside the elbow. The author has pioneered pattern recognition on the thermal profile scanned along the center-line of an elbow to assess its condition.« less
  • This paper presents a smart distribution grid testbed to test or compare designs of integrated information management systems (I2MSs). An I2MS extracts and synthesizes information from a wide range of data sources to detect abnormal system behaviors, identify possible causes, assess the system status, and provide grid operators with response suggestions. The objective of the testbed is to provide a modeling environment with sufficient data sources for the I2MS design. The testbed includes five information layers and a physical layer; it generates multi-layer chronological data based on actual measurement playbacks or simulated data sets produced by the physical layer. Themore » testbed models random hardware failures, human errors, extreme weather events, and deliberate tampering attempts to allow users to evaluate the performance of different I2MS designs. Initial results of I2MS performance tests showed that the testbed created a close-to-real-world environment that allowed key performance metrics of the I2MS to be evaluated.« less