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Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

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Power Flow Regulation of a Multi Area System with Fuzzy Gain Scheduled PI (FGPI) Controller for Static Synchronous Series Compensator (SSSC) with Superconducting Magnetic Energy Storage System (SMES)

by S. Padma, Dr. R. Lakshmipathi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 2
Year of Publication: 2010
Authors: S. Padma, Dr. R. Lakshmipathi
10.5120/1138-1489

S. Padma, Dr. R. Lakshmipathi . Power Flow Regulation of a Multi Area System with Fuzzy Gain Scheduled PI (FGPI) Controller for Static Synchronous Series Compensator (SSSC) with Superconducting Magnetic Energy Storage System (SMES). International Journal of Computer Applications. 7, 2 ( September 2010), 15-20. DOI=10.5120/1138-1489

@article{ 10.5120/1138-1489,
author = { S. Padma, Dr. R. Lakshmipathi },
title = { Power Flow Regulation of a Multi Area System with Fuzzy Gain Scheduled PI (FGPI) Controller for Static Synchronous Series Compensator (SSSC) with Superconducting Magnetic Energy Storage System (SMES) },
journal = { International Journal of Computer Applications },
issue_date = { September 2010 },
volume = { 7 },
number = { 2 },
month = { September },
year = { 2010 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume7/number2/1138-1489/ },
doi = { 10.5120/1138-1489 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:55:24.059592+05:30
%A S. Padma
%A Dr. R. Lakshmipathi
%T Power Flow Regulation of a Multi Area System with Fuzzy Gain Scheduled PI (FGPI) Controller for Static Synchronous Series Compensator (SSSC) with Superconducting Magnetic Energy Storage System (SMES)
%J International Journal of Computer Applications
%@ 0975-8887
%V 7
%N 2
%P 15-20
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this study, a fuzzy gain scheduled proportional and integral (FGPI) controller was developed to regulate the power flow regulation of Static Synchronous Series Compensator (SSSC) in a multi-area power system. Also, this FGPI was developed for the SSSC without and with Superconducting Magnetic Energy Storage (SMES) system. Two performance criteria were utulized for the comparison. First, settling times and overshoots of the real and reactive power flow were compared. Later, the THD of the Voltage Source Inverter (VSI) output voltage were compared. All the models were simulated by Matlab 7.0-Simulink software. The simulation results show that the FGPI controller developed in this study performs better for the SSSC system with SMES than the other without SMES.

References
  1. Hingorani, N.G., Role of FACTS in a Deregulated Market, Proc. IEEE Power Engineering Society Winter Meeting, Seattle, WA, USA, 2006, 1-6.
  2. An Intelligent Fuzzy controlled SSSC to Enhance power system stability-K.M Sze, L.A. Snider, T.S. Chung, K.W.Chan- 2004 International conference on Power System Technology, Powercon 2004 Singapore, 21-24 Novermber 2004 p1183 – 1188
  3. Anil. C. Pradhan and P.W. Lehn, Frequency domain analysis of the static synchronous series compensator, IEEE Transactions on Power Delivery, vol. 21(1), January 2006, pp. 440-450.
  4. B. Geethalakshmi and P. Dananjayan, Investigations of Performance of UPFC without DC link capacitor, Electric Power Systems Research, vol. 78, Issue 4, pp. 736-746, April 2007.
  5. V.S.C. Raviraj and P.C. Sen, Comparative study of proportional - integral, sliding mode, and FLC for power converters, IEEE Transactions on Industry Applications, vol. 33 no. 2, March/April 1997, pp. 518–524.
  6. Bruce S. Rigby and R. G. Harley, “An improved control scheme for a series capacitive reactance compensator based on a voltage-source inverter,” IEEE Trans. Industry Applications, vol. 34, no. 2, Mar./Apr.1998, pp. 355-363.
  7. Pavel Zuniga Haro and Juan M. Ramirez, “SSSC’s Adaptive Neural Control”, International Joint Conference on Neural Networks, July 16-21, 2006, p2267-2273.
  8. Lasseter R.H. and S. G. Lalali, “Dynamic Response of Power Conditioning Systems for Superconductive Magnetic Energy Storage,” IEEE Trans. On Energy Conversion, 6, 3, 1991, pp. 388-393.
  9. J. M. Mendel, Fuzzy logic systems for engineering: a tutorial, Proc.IEEE 83 (3) (1995) 345–377.
  10. C.C. Lee, Fuzzy logic in control systems: fuzzy logic controller-part I IEEE Trans. Syst. Man Cybern. 20 (2) (1990) 404–418.
  11. C.C. Lee, Fuzzy logic in control systems: fuzzy logic controller-part I IEEE Trans. Syst. Man Cybern. 20 (2) (1990) 419–435.
  12. T. Tilli, Automatisierung Mit Fuzzy-Logic, Franzis-Verlag, M¨unchen,1992
  13. S. Tesnijak, S. Mikus, O. Kuljaca, Load–frequency fuzzy control in power systems, in: Proceedings of the Fifth SONT, Simpozij oNovim Tehnologijima, Poree, 1995, pp. 136–139.
  14. M.H. Hamza, P. Agathoklis, W.C. Chan, A Combined Self-Tuning and Integral Controller for Load Frequency Control of Interconnected Power Systems, Regelungstechnik, Heft 7, Jahrgang 1982, pp. 226–232.
  15. J.D. Glover, F.C. Schweppe, Advanced load frequency control, in:IEEE Winter meeting, 30 January–4 February 1972, pp. 2095–2103.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Control multi-level inverters PI control FACTS devices

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