CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Load Frequency Control in Deregulated Power System using Fuzzy C-Means

by S. Srikanth, K. R. Sudha, Y. Butchi Raju
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 11
Year of Publication: 2013
Authors: S. Srikanth, K. R. Sudha, Y. Butchi Raju
10.5120/12932-9913

S. Srikanth, K. R. Sudha, Y. Butchi Raju . Load Frequency Control in Deregulated Power System using Fuzzy C-Means. International Journal of Computer Applications. 74, 11 ( July 2013), 34-41. DOI=10.5120/12932-9913

@article{ 10.5120/12932-9913,
author = { S. Srikanth, K. R. Sudha, Y. Butchi Raju },
title = { Load Frequency Control in Deregulated Power System using Fuzzy C-Means },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 11 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number11/12932-9913/ },
doi = { 10.5120/12932-9913 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:01.354694+05:30
%A S. Srikanth
%A K. R. Sudha
%A Y. Butchi Raju
%T Load Frequency Control in Deregulated Power System using Fuzzy C-Means
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 11
%P 34-41
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a fuzzy C-means controller proposed to the generation of optimal fuzzy rule base by Fuzzy C - Means clustering technique (FCM) for load frequency control in deregulated environment. The phase-plane plot of the inputs of the fuzzy controller is utilized to obtain the rule-base in the linguistic form. The proposed method is tested on a two-area power system with different contracted scenarios under various operating conditions. The results of the proposed controller are compared with the fuzzy PID controller and conventional PID controller to illustrate its robust performance. These comparisons demonstrate the superiority and robustness of the proposed controller.

References
  1. Javad Sadeh, Elyas Rakhshani, "Multi-Area Load Frequency Control in Deregulated Power System using Optimal Output Feedback Method", European Electricity market, 2008, 5th EEE International Conference.
  2. Elyas Rakhshani, Javad Sadeh, "Practical viewpoints on load frequency control problem in a deregulated power system", International Journal on Energy Conversion and management 51 (2010) pp. 1148-1156.
  3. V Donde, A Pai and Hiskens, , "Simulation and Optimization in an AGC System after Deregulation" IEEE Trans on Power Systems, vol 16 no 3,pp481-489,Aug 2001
  4. T. Anil Kumar, N. Venkata Ramana, "Improvement of Dynamic Performance of Three-area Thermal System under Deregulated Environment using HVDC Link", International Journal of Advances in Engineering & Technology, Sep 2011, ISSN: 2231-1963.
  5. S. Farook, Dr. P. Sangameswara Raju,"Robust Tuning of PID Controller to Optimize Bilateral Contracts in Deregulated Power System using Evolutionary Algorithms", International Journal of Engineering Research and Applications, ISSN: 2248-9622, Vol. 1, Issue 2, pp. 165-172.
  6. F. Liu, Y. H. Song, J. Ma, Q. Lu, "Optimal Load Frequency Control in the Restructured Power Systems", IEE Proc. Gener. Transm. Distrib. , Vol. 15, No. 1, pp. 87-95, 2003.
  7. Pardeep nain, K. P. Singh patmar, A. K. Singh, "Automatic Generation Control of an Interconnected Power System before and after Deregulation", IJCA Vol-61 no-15 Jan-2013
  8. H. Shayeghi, H. A. Shayanfar, A. Jalili, M. Khazaraee, "Area Load Frequency Control Using Fuzzy PID Type Controller in a Restructured Power System", International Conference on Artificial Intelligence, Las Vegas, Nevada, USA, pp. 344-50, June 27-30, 2005.
  9. T. C. Yang, H. Cimon, Q. M. Zhu, "Decentralized Load- Frequency Control Design Based on Structured Singular Values", IEE Proc. Genre. Transm. Dstrib. , Vol. 145, No. 1, pp. 7-14, January 1998.
  10. H. A. Shayanfar, H. Shayeghi, A. Jalili, M. Sivandian, "A Genetic Algorithm Based AGC of a Restructured Power System", International Conference on Artificial Intelligence, Las Vegas, Nevada, USA, pp. 237-240, June 2006.
  11. A. P. Sakis Meliopoulos , George J. Cokkinides, A. G. Bakirtzis, 'Load-frequency control service in a deregulated environment' Decision Support Systems 24 ;1999. 243–250
  12. H. Shayeghi, H. A. Shayanfar, O. P. Malik, "Robust Decentralized Neural Networks Based LFC in a Deregulated Power System", Electric Power System Research, Vol. 77, No. 3, pp. 241-251, 2007.
  13. A. Chatterjee, G. K. Mahanti, "Comparative Performance of Gravitational Search Algorithm and Modified Particle Swarm Optimization Algorithm for Synthesis of Thinned Scanned Concentric Ring Array Antenna", Progress in Electromagnetics Research B, Vol. 25, pp. 331-348, 2010.
  14. E. Rashedi, H. Nezamabadi-pour, S. Saryazdi, "Filter Modeling Using Gravitational Search Algorithm", Engineering Applications of Artificial Intelligence, Vol. 24, No. 1, pp. 117-122, 2010.
  15. H. Shayeghi, A. Ghasemi, "Market Based LFC Design Using Artificial Bee Colony", International Journal on Technical and Physical Problems of Engineering (IJTPE), Issue 6, Vol. 3, No. 1, pp. 1-10, March 2011.
  16. P. Bhatt, R. Roy, S. P. Ghoshal, "Optimized Multi Area AGC Simulation in Restructured Power Systems", Electrical Power and Energy Systems, Vol. 32, pp. 311-322, 2010.
  17. T. Hiyama, and Sameshima. T. , "Fuzzy Logic Control Scheme for On-Line Stabilization of Multi-Machine Power System", Fuzzy Sets and systems, Vol. 39, pp. 181-194, 1991.
  18. K. A. El-Metwally, "A Fuzzy Logic - Based PID For Power System Stabilization" Electric Power Components and systems, Vol. 29, pp. 659-669, 2001.
  19. Sudha KR, Vijaya Santhi R. Robust decentralized load frequency control of interconnected power system with Generation Rate Constraint using Type-2 fuzzy approach. Int J Electr Power Energy Syst 2011;33:699–707.
  20. Srikanth NV, Vinod Kumar DM. Investigation of stability of fuzzy logic based power system stabilizer using phase-plane analysis. National power systems conference, NPSC; 2004. p. 408–1.
  21. Bezdek JC. Pattern recognition with fuzzy objective function algorithms. NY: Plenum Press; 1981.
  22. Ying H. Deriving analytical input-output relationship for fuzzy controllers using arbitrary input fuzzy sets and Zadeh fuzzy and operator. IEEE Trans Fuzzy Syst 2006;14:654–62
  23. . Sudha K. R, Butchiraju Y, Chandra Sekar A, 'Fuzzy C-Means clustering for robust decentralized load frequency control of interconnected power system with Generation Rate Constraint', International Journal of Electrical Power and Energy Systems (2012), vol. 37:1 pp. 58-66.
  24. Vakula, V. S. ; Sudha, K. R. "Design of differential evolution algorithm-based robust fuzzy logic power system stabiliser using minimum rule base" Generation, Transmission & Distribution, IET Volume: 6 , Issue: 2, 2012 , pp: 121 - 132
  25. Chiu S. Fuzzy model identification based on cluster estimation. J Intel Fuzzy Syst 1994;2:267-78
Index Terms

Computer Science
Information Sciences

Keywords

LFC Fuzzy PID Controller Fuzzy C-means Controller Deregulated Environment

Powered by PhDFocusTM