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

Title: Optimal subinterval selection approach for power system transient stability simulation

Abstract

Power system transient stability analysis requires an appropriate integration time step to avoid numerical instability as well as to reduce computational demands. For fast system dynamics, which vary more rapidly than what the time step covers, a fraction of the time step, called a subinterval, is used. However, the optimal value of this subinterval is not easily determined because the analysis of the system dynamics might be required. This selection is usually made from engineering experiences, and perhaps trial and error. This paper proposes an optimal subinterval selection approach for power system transient stability analysis, which is based on modal analysis using a single machine infinite bus (SMIB) system. Fast system dynamics are identified with the modal analysis and the SMIB system is used focusing on fast local modes. An appropriate subinterval time step from the proposed approach can reduce computational burden and achieve accurate simulation responses as well. As a result, the performance of the proposed method is demonstrated with the GSO 37-bus system.

Authors:
 [1];  [2]
  1. Korea Electric Power Corporation (KEPCO), Daejeon (Korea)
  2. Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States)
Publication Date:
Research Org.:
Univ. of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1239683
Grant/Contract Number:  
OE0000097
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Energies
Additional Journal Information:
Journal Volume: 8; Journal Issue: 10; Journal ID: ISSN 1996-1073
Publisher:
MDPI AG
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; transient stability simulation; numerical integration; time step; multi-rate method; subinterval; computational efficiency

Citation Formats

Kim, Soobae, and Overbye, Thomas J. Optimal subinterval selection approach for power system transient stability simulation. United States: N. p., 2015. Web. doi:10.3390/en81011871.
Kim, Soobae, & Overbye, Thomas J. Optimal subinterval selection approach for power system transient stability simulation. United States. https://doi.org/10.3390/en81011871
Kim, Soobae, and Overbye, Thomas J. 2015. "Optimal subinterval selection approach for power system transient stability simulation". United States. https://doi.org/10.3390/en81011871. https://www.osti.gov/servlets/purl/1239683.
@article{osti_1239683,
title = {Optimal subinterval selection approach for power system transient stability simulation},
author = {Kim, Soobae and Overbye, Thomas J.},
abstractNote = {Power system transient stability analysis requires an appropriate integration time step to avoid numerical instability as well as to reduce computational demands. For fast system dynamics, which vary more rapidly than what the time step covers, a fraction of the time step, called a subinterval, is used. However, the optimal value of this subinterval is not easily determined because the analysis of the system dynamics might be required. This selection is usually made from engineering experiences, and perhaps trial and error. This paper proposes an optimal subinterval selection approach for power system transient stability analysis, which is based on modal analysis using a single machine infinite bus (SMIB) system. Fast system dynamics are identified with the modal analysis and the SMIB system is used focusing on fast local modes. An appropriate subinterval time step from the proposed approach can reduce computational burden and achieve accurate simulation responses as well. As a result, the performance of the proposed method is demonstrated with the GSO 37-bus system.},
doi = {10.3390/en81011871},
url = {https://www.osti.gov/biblio/1239683}, journal = {Energies},
issn = {1996-1073},
number = 10,
volume = 8,
place = {United States},
year = {Wed Oct 21 00:00:00 EDT 2015},
month = {Wed Oct 21 00:00:00 EDT 2015}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 6 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Dynamic security assessment practices in North America
journal, January 1988


Power system dynamic response calculations
journal, January 1979


The multirate method for simulation of power system dynamics
journal, January 1994


The multirate simulation of FACTS devices in power system dynamics
journal, January 1996


A fast method for determining the voltage stability limit of a power system
journal, January 1995


Works referencing / citing this record:

Response Based Emergency Control System for Power System Transient Stability
journal, November 2015