SavedAdd your journal

Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2015 / Cilt: 15 - Sayı: 2

TRANSIENT STABILITY SIMULATION OF MULTI-MACHINE POWER SYSTEMS USING SIMULINK

Aysen DEMIROREN
Serdar EKINCI
Pages
1937–1944
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Likewise, foracademic and educational use, all component sub-models are transparent and can simply be modified or extended.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper describes generalized dynamic model of multi-machine power systems for transient stabilityanalysis and its computer simulation using MTZAB/SIMULINK.
📊
Key Findings & Data:The developed simulation model istested on 3-machine 9-bus power system and IO-machine 39-bus New England power system under difl'erent largedisturbances.
💡
Conclusion & Impact:Likewise, foracademic and educational use, all component sub-models are transparent and can simply be modified or extended.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This paper describes generalized dynamic model of multi-machine power systems for transient stabilityanalysis and its computer simulation using MTZAB/SIMULINK. The generalized model of the power systems can beused for teaching the power system transient phenomena, as well as for research works particularly to improvegenerator controllers with advanced technologies. Constructional details of various sub-models for the whole powersystems are given and their implementation in SIMULINK environment is outlined. The developed simulation model istested on 3-machine 9-bus power system and IO-machine 39-bus New England power system under difl'erent largedisturbances. For the studied cases, the critical clearing times (CCT) are calculated and the simulation results arepresented and discussed. Nonlinear time-domain simulation results obtained from several case studies validate theeffectiveness ofproposed model for transient stability analysis. The proposed dynamic model has been employed tosupport and develop power engineering education at both the undergraduate and graduate levels. Likewise, foracademic and educational use, all component sub-models are transparent and can simply be modified or extended.

🔖

Cite This Article

DEMIROREN, A., EKINCI, S. (2022). TRANSIENT STABILITY SIMULATION OF MULTI-MACHINE POWER SYSTEMS USING SIMULINK. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 15 - Sayı: 2, 1937–1944. https://ajindex.com/articles/543645

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Kundur P., Power system stability and control, New York, USA: Mc Graw-Hill, 1994
  2. Bettiol A. L., Souza A., Todesco J. L., Tesch JR Jr., “Estimation of critical clearing times using neural networ ”, In: IEEE Power Tech Conference Proceedings; 23-26 June 2003; Bologna, Italy: IEEE. pp. 1-6
  3. Karami A., Esmaili S.Z., “Transient stability assessment of power systems described with detailed models using neural networks”, Int Electr Power Energy.Shıst, Vol. 45, No. 1, pp. 279-29, 2013
  4. Ahmed M.A. Haidar, M.W. Mustafa, Faisal A.F. Ibrahim, Ibrahim A. Ahmed., “Transient stability evaluation of electrical power system using generalized regression neural networ ”, Applied Sufi Computing, Vol. 11, No. 4, pp. 3558-3570, 2011
  5. Ong C., Dynamic Simulation of Electric Machinery Using MATLAB/SIMULINK. Upper Saddle River, NJ: Prentice Hall, 1998
  6. Allen E., White N.L., Yoon Y., Chapman J., Ilic M., “Interactive object-oriented simulation of interconnected power systems using SllVIULINK”, IEEE Trans. Educ, Vol. 44, No. 1, pp. 87-94, 2001
  7. Patel K, Bhatti T.S., Kothari D.P., “MATLAB/Simulink— based transient stability analysis of multi-rnachine power system”, IntJElec Eng Educ, Vol. 39, No. 4, pp. 320-336, 2002
  8. Demiroren A., Zeynelgil H.L., “Modelling and Simulation of synchronous machine transient analysis using SIMULINK”, Int Elec Eng Educ, Vol. 39, No. 4, pp. 337-346, 2002
  9. Cho Y.S., Park J., Jang G., “A novel tool for transient stability analysis of large-scale power systems: Its application to the KEPCO system”, Simul Model Pract 77;, Vol. 15, No. 7, pp. 786-800, 2007
  10. Panda S., “Difi‘erential evolutionary algorithm for TCSC—based controller design”, Simul Model Pract Th, Vol. 17, No. 10, pp. 1618-1634, 2009
  11. Gelen A., Yalcinoz T., “An educational software package for Thyristor Switched Reactive Power Compensators using Matlab/Simuli ”, Simul Model Pract Th, Vol. 18, No. 3, pp. 366-377, 2010
  12. Nguimfack-Ndongmo J.D.D., Kenné G., Kuate-Fochie R., Cheukem A., Fotsin H.B., Lanmabhi-Lagarrigue F., “A simplified nonlinear controller for transient stability enhancement of multi-machine power systems using SSSC device”, Int Electr Power Energy Syst, Vol. 54, pp. 650-657, 2014
  13. Sauer P.W., Pai M.A., Power system Dynamics and Stability. Prentice Hall, 1998
  14. Anderson P.M., Fouad A.A., Power System Control and Stability. Ames, IA: Iowa State Univ. Press, 1977
  15. Pai M.A., Energy function analysis for power system stabil