CFP last date
20 May 2024
Reseach Article

Power System Restoration Assessment Indices computation for a Restructured Power System with Bacterial Foraging Optimized Load - Frequency Controller

by R. Thirunavukarasu, B. Paramasivam, I. A. Chidambaram
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 16
Year of Publication: 2013
Authors: R. Thirunavukarasu, B. Paramasivam, I. A. Chidambaram
10.5120/13610-1434

R. Thirunavukarasu, B. Paramasivam, I. A. Chidambaram . Power System Restoration Assessment Indices computation for a Restructured Power System with Bacterial Foraging Optimized Load - Frequency Controller. International Journal of Computer Applications. 78, 16 ( September 2013), 41-54. DOI=10.5120/13610-1434

@article{ 10.5120/13610-1434,
author = { R. Thirunavukarasu, B. Paramasivam, I. A. Chidambaram },
title = { Power System Restoration Assessment Indices computation for a Restructured Power System with Bacterial Foraging Optimized Load - Frequency Controller },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 16 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 41-54 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number16/13610-1434/ },
doi = { 10.5120/13610-1434 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:51:46.372844+05:30
%A R. Thirunavukarasu
%A B. Paramasivam
%A I. A. Chidambaram
%T Power System Restoration Assessment Indices computation for a Restructured Power System with Bacterial Foraging Optimized Load - Frequency Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 16
%P 41-54
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes, various design procedures for computing Power System Restoration Assessment Indices (PSRAI) for a Two-Area Hydro-Thermal Reheat Interconnected Power System (TAHTRIPS) in a restructured environment with a load-frequency controller optimized using Bacterial Foraging Optimization (BFO) algorithm. In the restructured scenario, as various types of apparatus with large capacity may enhance fast power consumption which causes serious problem in the frequency oscillations. The oscillation of system frequency may sustain and grow to cause stability problems in the system if no adequate damping is provided. The disturbances to the power system due to a small load change can even result in wide deviation in system frequency which is referred as load-frequency control problem. Quick system restoration is of prime importance not only based on the time of restoration and also stability limits also plays a very vital role in power system restoration problems due to unexpected load variations in power systems. The simple conventional Proportional plus Integral (P-I) controllers are still popular in power industry for frequency regulation as in case of any change in system operating conditions new gain values can be computed easily even for multi-area power systems. This paper focus on the computation of various PSRAI for TAH(with mechanical governor) -TRIPS and TAH (with Electric governor)- TRIPS unit based on the settling time concept, The design of the Proportional plus Integral (PI) controller gains are tuned using Bacterial Foraging Optimization (BFO) algorithm. These controllers are implemented to achieve a fast restoration time in the output responses of the system when the system experiences with various step load perturbations. In this paper the PRSAI are calculated for different types of possible transactions and the necessary remedial measures to be adopted are also suggested.

References
  1. V. Donde, M. A. Pai, I. A. Hiskens, "Simulation and Optimization in an AGC System after Deregulation", IEEE Transaction on Power System, 16(3), (2001), 481-489.
  2. F. Liu, Y. H. Song, J. Ma, S. Mei, Q. Lu, "Optimal load- Frequency control in restructured power systems", IEE proceeding on Generation Transmission and Distribution, 150(1), (2003), 87-95.
  3. A. Demiroren, H. L. Zeynelgil, "GA application to optimization of AGC in three-area power system after deregulation", Electrical Power and Energy System, 29(3), (2007), 230-240.
  4. H. Shayeghi, H. A. Shayanfar, O. P. Malik, Robust Decentralized Neural Networks Based LFC in a Deregulated Power System, Electric Power System Research, 77,(2007), 241-251.
  5. H. Shayeghi, H. A. Shayanfar, A. Jalili, "Load frequency Control Strategies: A state-of-the-art survey for the researcher", Energy Conversion and Management, 50(2), (2009), 344-353.
  6. Ibraheem, P. Kumar, D. P. Kothari, "Recent philosophies of automatic generation control strategies in power systems", IEEE Transactions on Power Systems, 20(1), (2005), 346-357.
  7. M. M. Adibi, J. N. Borkoski, R. J. Kafka and T. L. Volkmann," Frequency Response of Prime Movers during Restoration", IEEE Transactions on Power Systems 14(2), (1999), 751-756.
  8. M. M. Adibi and R. J. Kafka, "Power System Restoration Issues", IEEE Computer Applications in Power, 4(2), (1991), 19-24.
  9. Herman B. Ross, Ning Zhu, Jay Giri and Barbara Kindel, "An AGC Implementation for System Islanding and Restoration conditions", IEEE Transactions on Power Systems, 9(3), (1994), 1399-1410.
  10. Jayesh J. Joglekar and Yogesh P. Nerkar, "A different approach in system restoration with special consideration of Islanding schemes", Electrical Power and Energy Systems, 30, (2008), 519-524.
  11. CH. Liang, C. Y. Chung, K. P. Wong, X. Z. Duan, C. T. Tse, Study of Differential Evolution for Optimal Reactive Power Dispatch, IET Transactions on Generation Transmission and Distribution, 1(2007), 253-260.
  12. Y. Shi, R. C. Eberhart, Parameter Selection in PSO, "In Proceedings of 7th Annual Conference on Evolutionary Computation", (1998), 591-601.
  13. M. Dorigo, M. Birattari, T. Stutzle, "Ant Colony optimization: artificial ants as a computational intelligence technique", IEEE. Computational Intelligence Magazine, (2007), 28-39.
  14. Ghoshal, "Application of GA/GA-SA based fuzzy automatic control of multi-area thermal generating system", Electric Power System Research, 70, (2004), 115-127.
  15. M. A. Abido, "Optimal design of power system stabilizers using particle swarm optimization", IEEE Transaction. Energy Conversion, 17(3), (2002), 406-413.
  16. K. M. Passino, "Biomimicry of bacterial foraging for distributed optimization and control", IEEE Control Syst Magazine, 22 (3), (2002), 52-67.
  17. M. L. Kothari, B. L. Kaul and J. Nanda, "Automatic generation control of hydro-thermal system", Journal of Institution of Engineers (India), 61, (1980), 1-4
  18. Prabhat Kumar, K. E. Hole and R. P. Aggarwal, "Design of a decentralized AGC regulation for two-area hydro-thermal power system", Journal of Institution of Engineers (India), Vol. 63, pt EL. , pp. 304-309, 1983
  19. O. P. Malik, G. S. Hope, S. C. Tripathy and N. Mital, "Decentralized sub-optimal load-frequency control of a hydro-thermal power system using state variable model", Electric power system research, Vol. 8, pp. 237-247, 1984/85.
  20. Nanda J, Mangala, A, Suri, S, "Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers", IEEE Transactions of Energy Conversion, Vol. 21,pp. 187-194, March 2006.
  21. Surya Prakash, S. K. Sinha, "Application of artificial intelligence in load frequency control of interconnected power system", International Journal of Engineering, Science and Technology, Vol. 3, No. 4, pp. 264-275, 2011
  22. Janardan Nanda, Mishra. S. , Lalit Chandra Saikia, "Maiden Application of Bacterial Foraging-Based optimization technique in multi-area Automatic Generation Control", IEEE Transaction on Power System, 24(2), (2009), 602-609.
  23. S. Farook, P. Sangameswara Raju, "AGC controllers to optimize LFC regulation in deregulated powersystem", International Journal of Advances in Engineering & Technology, IJAET ISSN:2231-1963, Nov 2011, Vol. 1, Issue 5, pp. 278-289.
  24. C. Srinivasa Rao, "Implementation of Load Frequency Control of Hydrothermal System under Restructed Scenario Employing Fuzzy Controlled Genetic Algorithm", International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering, ISSN: 2278-8875,July 2012, Vol. 1, Issue 1, pp. 1-6.
  25. B. Paramasivam and I. A. Chidambaram, "Bacterial Foraging Optimization Based Load-Frequency Control of Interconnected Power Systems with Static Synchronous Series Compensator", International Journal of Latest Trend in Computing, Vol 1, Issue 2, pp. 7-15, 2010.
  26. K. Ogatta, Modern Control System Engineering, 5th Edition, Pearson Education, New Jessey, 2010.
  27. M. Shanthakumar, Computer Based Numerical Analysis, Khanna Publishers, New Delhi, 1999.
Index Terms

Computer Science
Information Sciences

Keywords

Bacterial Foraging Optimization Electric Governor Load- Frequency Control Proportional plus Integral Controller Restructured Power System Power System Restoration Assessment Indices