Dynamic Stability and Analysis of SMIB system with FLC Based PSS including Load Damping Parameter Sensitivity

Authors

  • Jagadeesh Pothula SRKR Engineering College, Bhimavaram - INDIA
  • Ch. Durga Prasad SRKR Engineering College, Bhimavaram - INDIA
  • M. Sai Veerraju SRKR Engineering College, Bhimavaram - INDIA

DOI:

https://doi.org/10.51611/iars.irj.v4i2.2014.37

Keywords:

POWER SYSTEM STABILIZERS, FUZZY LOGIC CONTROLLER, LOAD DAMPING PARAMETERS

Abstract

This paper studies Dynamic Analysis and Stability of Single machine connected to infinite bus (SMIB) with power system stabilizer (PSS) in presence of Fuzzy logic controller (FLC) including load damping parameter sensitivity. Here PSS is modeled using fuzzy logic controller and the response is compared with the responses of the system in presence of conventional PI, PID controllers including load damping parameters sensitivity. In case of FLC based PSS the responses are compared different load damping parameters. Matlab-Simulink is used to test the results.

Downloads

Download data is not yet available.

References

Al-Hinai, “DYNAMIC STABILITY ENHANCEMENT USING GENETIC ALGORITHM POWER SYSTEM STABILIZER" in Power System Technology (POWERCON), 2010 International Conference on, oct. 2010, pp. 1 -7.
Balwinder Singh Surjan, Ruchira Garg, “POWER SYSTEM STABILIZER CONTROLLER DESIGN FOR SMIB STABILITY STUDY”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-2, Issue-1, October 2012.
K. Al-Olimat, A. Farhoud, and J. Hurtig, “POWER SYSTEM STABILIZERS WITH FUZZY LOGIC SWITCHING" in Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES, 29 2006-Nov. 1 2006, pp.2152-2157.
G V Moodley, G D Jennings, R G Harley and M T Wishart, “FUZZY LOGIC POWER SYSTEM STABILIZER IN MULTI MACHINE STABILITY STUDIES”, IEEE AFRICON, pp. 843-848, Sept. 1996.
Jenica Ileana Corcau, Eleonor Stoenescu, “FUZZY LOGIC CONTROLLER AS A POWER SYSTEM STABILIZER”, International Journal of Circuits, Systems and Signal Processing.
M.L. Kothari, Ravi Segal, Bhushan K. Ghodki. “ADAPTIVE CONVENTIONAL POWER SYSTEM STABILIZER BASED ON ARTIFICIAL NEURAL NETWORK”, Power Electronics, Derives and Energy Systems, vol.2, Jan 1996, pp 1072–1077.
R. Gupta, D. Sambariya, and R. Gunjan, “FUZZY LOGIC BASED ROBUST POWER SYSTEM STABILIZER FOR MULTI-MACHINE POWER SYSTEM" in Industrial Technology, 2006. ICIT 2006. IEEE International Conference on dec. 2006, pp. 1037-1042.
Manisha Dubey, Aalok Dubey, “GENETIC ALGORITHM BASED DESIGN OF FUZZY LOGIC POWER SYSTEM STABILIZERS IN MULTIMACHINE POWER SYSTEM” World Academy of Science, Engineering and Technology Vol:4 2010-06-28.
Jenica Ileana Corcau, Eleonor Stoenescu, “FUZZY LOGIC CONTROLLER AS A POWER SYSTEM STABILIZER” International Journal of Circuits, Systems and Signal Processing.
F.P. Demello and C. Concordia, “CONCEPT OF SYNCHRONOUS MACHINE STABILITY AS AFFECTED BY EXCITATION CONTROL”, IEEE Transactions on Power Apparatus and System, Vol. 88, 1969, pp 316-329.
E.V. Larsen and D.A. Swann, “APPLYING POWER SYSTEM STABILIZERS”, Part I-III”, IEEE Trans, PAS Vol. 100, No 6, 1981, pp 3017-3046.
P. Kundur, “POWER SYSTEM STABILITY AND CONTROL”, McGraw Hill Inc.1993.
K.A. El- Metwally and O. P. Malik, “APPLICATION OF FUZZY LOGIC STABILIZERS IN A MULTIMACHINE POWER SYSTEM ENVIRONMENT”, IEEE Proceedings on Generation Transmission Distribution, Vol.143, Part-C, No.3, May 1996, pp.263-268.
M. A. Abido and Y.L. Abdel-Magid, “TUNING OF A FUZZY LOGIC POWER SYSTEM STABILIZER USING GENETIC ALGORITHMS”, 4th IEEE International Conference on Evolutionary Computation ICEC 1997, pp.595-599.
Manisha Dubey, “DESIGN OF GENETIC ALGORITHM BASED POWER SYSTEM STABILIZERS IN MULTIMACHINE POWER SYSTEM” International conference on Soft Computing & Intelligent System at Jabalpur Engineering College, Jabalpur ,ICSCIS-07,December 27-29,2007, pp. 214-219.

Crossref Crossmark

Downloads

Published

2014-08-29

Issue

Section

Peer Reviewed Research Manuscript

How to Cite

“Dynamic Stability and Analysis of SMIB system with FLC Based PSS including Load Damping Parameter Sensitivity” (2014) IARS’ International Research Journal, 4(2). doi:10.51611/iars.irj.v4i2.2014.37.

Citations

Similar Articles

1-10 of 37

You may also start an advanced similarity search for this article.