skip to main content

DOE PAGESDOE PAGES

Title: Geographically distributed real-time digital simulations using linear prediction

Real time simulation is a powerful tool for analyzing, planning, and operating modern power systems. For analyzing the ever evolving power systems and understanding complex dynamic and transient interactions larger real time computation capabilities are essential. These facilities are interspersed all over the globe and to leverage unique facilities geographically-distributed real-time co-simulation in analyzing the power systems is pursued and presented. However, the communication latency between different simulator locations may lead to inaccuracy in geographically distributed real-time co-simulations. In this paper, the effect of communication latency on geographically distributed real-time co-simulation is introduced and discussed. In order to reduce the effect of the communication latency, a real-time data predictor, based on linear curve fitting is developed and integrated into the distributed real-time co-simulation. Two digital real time simulators are used to perform dynamic and transient co-simulations with communication latency and predictor. Results demonstrate the effect of the communication latency and the performance of the real-time data predictor to compensate it.
Authors:
 [1] ; ORCiD logo [2] ; ORCiD logo [3] ;  [2] ;  [1] ;  [3]
  1. Washington State Univ., Pullman, WA (United States)
  2. Idaho National Lab. (INL), Idaho Falls, ID (United States)
  3. Colorado State Univ., Fort Collins, CO (United States)
Publication Date:
Report Number(s):
INL/JOU-15-36961
Journal ID: ISSN 0142-0615; PII: S0142061516308079
Grant/Contract Number:
AC07-05ID14517
Type:
Accepted Manuscript
Journal Name:
International Journal of Electrical Power and Energy Systems
Additional Journal Information:
Journal Volume: 84; Journal Issue: C; Journal ID: ISSN 0142-0615
Publisher:
Elsevier
Research Org:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org:
USDOE Office of Nuclear Energy (NE)
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; geographically distributed simuation; linear curve fitting; linear data predictor; real-time digital simulation (RTDS); real-time simulation; power systems; transients; co-simulation
OSTI Identifier:
1357527

Liu, Ren, Mohanpurkar, Manish, Panwar, Mayank, Hovsapian, Rob, Srivastava, Anurag, and Suryanarayanan, Siddharth. Geographically distributed real-time digital simulations using linear prediction. United States: N. p., Web. doi:10.1016/j.ijepes.2016.06.005.
Liu, Ren, Mohanpurkar, Manish, Panwar, Mayank, Hovsapian, Rob, Srivastava, Anurag, & Suryanarayanan, Siddharth. Geographically distributed real-time digital simulations using linear prediction. United States. doi:10.1016/j.ijepes.2016.06.005.
Liu, Ren, Mohanpurkar, Manish, Panwar, Mayank, Hovsapian, Rob, Srivastava, Anurag, and Suryanarayanan, Siddharth. 2016. "Geographically distributed real-time digital simulations using linear prediction". United States. doi:10.1016/j.ijepes.2016.06.005. https://www.osti.gov/servlets/purl/1357527.
@article{osti_1357527,
title = {Geographically distributed real-time digital simulations using linear prediction},
author = {Liu, Ren and Mohanpurkar, Manish and Panwar, Mayank and Hovsapian, Rob and Srivastava, Anurag and Suryanarayanan, Siddharth},
abstractNote = {Real time simulation is a powerful tool for analyzing, planning, and operating modern power systems. For analyzing the ever evolving power systems and understanding complex dynamic and transient interactions larger real time computation capabilities are essential. These facilities are interspersed all over the globe and to leverage unique facilities geographically-distributed real-time co-simulation in analyzing the power systems is pursued and presented. However, the communication latency between different simulator locations may lead to inaccuracy in geographically distributed real-time co-simulations. In this paper, the effect of communication latency on geographically distributed real-time co-simulation is introduced and discussed. In order to reduce the effect of the communication latency, a real-time data predictor, based on linear curve fitting is developed and integrated into the distributed real-time co-simulation. Two digital real time simulators are used to perform dynamic and transient co-simulations with communication latency and predictor. Results demonstrate the effect of the communication latency and the performance of the real-time data predictor to compensate it.},
doi = {10.1016/j.ijepes.2016.06.005},
journal = {International Journal of Electrical Power and Energy Systems},
number = C,
volume = 84,
place = {United States},
year = {2016},
month = {7}
}