Open-Source Framework for Data Storage and Visualization of Real-Time Experiments

Research output: Contribution to conferencePaperpeer-review

1 Scopus Citations

Abstract

Digital real time simulators (DRTS) are increasingly being used for the evaluation of power hardware and controller hardware in the laboratory prior to field deployment. Although DRTS are capable of simulating large models in real-time, it is challenging to visualize the results of large models without overdrawing or confounding the viewer. This paper provides an open-source framework for users to visualize their DRTS-based hardware-in-the-loop (HIL) experimental results in real-time. This proposed framework can be used by experimental test beds that can push data through an internet protocol based network. The proposed framework includes three main components. First, it includes the DRTS that generates and pushes the data to a relay. Second, it includes an application that serves multiple purposes, from data storage, testing, and translation of the data to a publisher/subscriber protocol. Finally, it includes libraries and applications that can be used to visualize the data by subscribing to the relay. This framework is available in open source, and it is tested using the HIL platform developed for testing advanced distribution management systems.

Original languageAmerican English
Number of pages6
DOIs
StatePublished - Jul 2020
Event2020 IEEE Kansas Power and Energy Conference, KPEC 2020 - Manhattan, United States
Duration: 13 Jul 202014 Jul 2020

Conference

Conference2020 IEEE Kansas Power and Energy Conference, KPEC 2020
Country/TerritoryUnited States
CityManhattan
Period13/07/2014/07/20

Bibliographical note

See NREL/CP-5D00-76264 for preprint

NREL Publication Number

  • NREL/CP-5D00-78285

Keywords

  • Advanced distribution management systems
  • controller-hardware-in-the-loop
  • digital real-time simulation
  • open-source framework
  • power-hardware-in-the-loop
  • real-time simulation
  • visualization
  • volt-VAR optimization

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