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Article

Optimal Subinterval Selection Approach for Power System Transient Stability Simulation

1
Korea Electric Power Research Institute (KEPRI), Korea Electric Power Corporation (KEPCO), 105 Munji-Ro, Yuseong-Gu, Daejeon 305-760, Korea
2
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 306 N. Wright St., Urbana, IL 61801, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Ying-Yi Hong
Energies 2015, 8(10), 11871-11882; https://doi.org/10.3390/en81011871
Received: 2 September 2015 / Revised: 14 October 2015 / Accepted: 16 October 2015 / Published: 21 October 2015
(This article belongs to the Special Issue Electric Power Systems Research)
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. The performance of the proposed method is demonstrated with the GSO 37-bus system. View Full-Text
Keywords: transient stability simulation; numerical integration; time step; multi-rate method; subinterval; computational efficiency transient stability simulation; numerical integration; time step; multi-rate method; subinterval; computational efficiency
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MDPI and ACS Style

Kim, S.; Overbye, T.J. Optimal Subinterval Selection Approach for Power System Transient Stability Simulation. Energies 2015, 8, 11871-11882. https://doi.org/10.3390/en81011871

AMA Style

Kim S, Overbye TJ. Optimal Subinterval Selection Approach for Power System Transient Stability Simulation. Energies. 2015; 8(10):11871-11882. https://doi.org/10.3390/en81011871

Chicago/Turabian Style

Kim, Soobae, and Thomas J. Overbye 2015. "Optimal Subinterval Selection Approach for Power System Transient Stability Simulation" Energies 8, no. 10: 11871-11882. https://doi.org/10.3390/en81011871

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