CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

LFC System of Multi-Area Interconnected Power Systems using TVAC-PSO based Controller

by K. P. Singh Parmar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 8
Year of Publication: 2014
Authors: K. P. Singh Parmar
10.5120/15372-3923

K. P. Singh Parmar . LFC System of Multi-Area Interconnected Power Systems using TVAC-PSO based Controller. International Journal of Computer Applications. 88, 8 ( February 2014), 13-19. DOI=10.5120/15372-3923

@article{ 10.5120/15372-3923,
author = { K. P. Singh Parmar },
title = { LFC System of Multi-Area Interconnected Power Systems using TVAC-PSO based Controller },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 8 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 13-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number8/15372-3923/ },
doi = { 10.5120/15372-3923 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:07:05.801930+05:30
%A K. P. Singh Parmar
%T LFC System of Multi-Area Interconnected Power Systems using TVAC-PSO based Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 8
%P 13-19
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This article presents a Particle Swarm Optimization with time-varying acceleration coefficients (TVAC-PSO) technique for the design of Integral (I) controller for the Load Frequency Control (LFC) system. The LFC modeling is carried out for Multi-area interconnected power systems (MAIPS). The power system comprises non-reheat thermal unit in each control area. The controller gains have been optimized using an efficient TVAC-PSO technique. Two MAIPS models have been considered for the LFC analysis. The dynamic responses have been obtained by giving step load perturbation (SLP) in control area-1. Area frequency and tie line power deviations settle with zero steady state errors. Area frequencies and tie line powers attain their corresponding nominal values. The dynamic responses obtained are as per the LFC requirements.

References
  1. Kothari DP, Nagrath IJ. Modern power system analysis. 4th ed. New Delhi: Tata McGraw Hill; 2011.
  2. Elgerd OI. Electric energy system theory: an introduction. 2nd ed. New York: McGraw Hill; 1983.
  3. Kundur P. Power system stability and control. 5th reprint. New Delhi: Tata McGraw Hill; 2008.
  4. Bevrani H. Robust power system frequency control. New York: Springer; 2009.
  5. Ibraheem, Kumar P, Kothari DP. Recent philosophies of automatic generation control strategies in power systems. IEEE Trans Power Syst 2005;20(1):346–57.
  6. Parmar KPS, Majhi S, Kothari DP. Load frequency control of a realistic power system with multi-source power generation. Int J Electr Power Energy Syst 2012;42:426–33.
  7. Parmar KPS, Majhi S, Kothari DP. Automatic generation control of an interconnected hydrothermal power system. In: IEEE conference on proceedings, INDICON. Kolkata, India; 2010.
  8. Parmar KPS, Majhi S, Kothari DP. Multi-area load frequency control in a power system using optimal output feedback method. In: IEEE conference on proceedings, PEDES. New Delhi, India; 2010.
  9. Parmar KPS, Majhi S, Kothari DP. LFC of an interconnected power system with thyristor controlled phase shifter in the tie line. Int J Comput Appl 2012;41(9):27–30.
  10. Parmar KPS, Majhi S, Kothari DP. Improvement of dynamic performance of LFC of the two area power system: an analysis using MATLAB. Int J Comput Appl 2012;40(10):28–32.
  11. Yazdizadeh A, Ramezani MH, Hamedrahmat E. Decentralized load frequency control using a new robust optimal MISO PID controller. Int J Electr Power Energy Syst 2012; 35:57–65.
  12. H. Shayeghi, H. A. Shayanfar. Application of ANN technique for interconnected power system load frequency control. Int J Eng. , vol. 16, no. 3, pp. 247 – 254, 2003.
  13. S. Ramesh, A. Krishnan. Fuzzy rule based load frequency control in a parallel AC-DC interconnected power system through HVDC link. International Journal of Computer Applications, vol. 1, no. 4, 2010.
  14. C. S. Chang, W. Fu. Area load frequency control using fuzzy gain scheduling of PI controllers. Electr Power Syst Res, vol. 47, pp. 145 – 152, 1997.
  15. E. Cam, I. Kocaarslan. Load frequency control in two area power system using fuzzy logic controller. J. Energy Conversion and Management, vol. 45, pp. 233 – 245, 2005.
  16. P. Bhatt, R. Roy, and S. Ghoshal. GA/particle swarm intelligence based optimization of two specific varieties of controller devices applied to two-area multi-units automatic generation control. Int. Journal of Electrical Power and Energy Syst. , vol. 32, no. 4, pp. 299 – 310, May 2010.
  17. Sudha KR, Santhi RV. 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.
  18. Chandrakala KRMV, Balamurugan S, Sankaranarayanan K. Variable structure fuzzy gain scheduling based load frequency controller for multi-source multi-area hydro thermal system. Int J Electr Power Energy Syst 2013;53:375–81.
  19. Panda S, Yegireddy NK. Automatic generation control of multi-area power system using multi-objective non-dominated sorting genetic algorithm-II. Int J Electr Power Energy Syst 2013;53:54–63.
  20. Ibraheem, Omveer Singh. Design of particle swarm optimization (PSO) based automatic generation control (AGC) regulator with different cost functions. Journal of Electrical and Electronics Engg. Res. Vol. 4(2), pp. 33-45, November 2012.
  21. Bevrani H, Hiyama T. Intelligent automatic generation control. New York: CRC Press; 2011.
  22. Tyagi B, Srivastava SC. A decentralized automatic generation control scheme for competitive electricity markets. IEEE Trans Power Syst 2006;21(1):312–20.
  23. Padhan DG, Majhi S. A new control scheme for PID load frequency controller of single area and multi area power systems. ISA Transactions, vol. 52, pp. 242-251, 2013.
  24. IEEE power engineering systems committee report. Dynamic models for steam and hydro turbines for power systems studies. IEEE Trans Power App Syst 1973;PAS-92.
  25. J. Kennedy, R. Eberhart. Particle swarm optimization. Proceedings of IEEE Int. Conf. on Neural Networks, vol. 4, pp. 1942-1948, 1995
  26. Y. Shi, R. Eberhart. A modified particle swarm optimizer. Proceedings of IEEE Int. Conf. on Evol. Comput. , pp. 69-73, 1998
  27. Y. Shi, R. Eberhart. Empirical study of particle swarm optimization. Proceedings Congr. Evol. Comput. , NJ, pp. 1945-1950, 1999
  28. A. Ratnaweera, S. K. Halgamuge, H. C. Watson. Self-organizing hierarchical particle swarm optimizer with time varying acceleration coefficients. IEEE Trans. on Evol. Comput. , vol. 8, no. 3, pp. 240-255, 2004
  29. Ma. Y, C. Jiang, Z. Hou, C. Wang. The formulation of the optimal strategies for the electricity producers based on the particle swarm optimization algorithm. IEEE Trans. on Power Systems, vol. 21, no. 4, pp. 1663-1671, 2006
  30. Bhuvnesh Khokhar, K. P. Singh Parmar. An efficient particle swarm optimization with time varying acceleration coefficients to solve economic dispatch problem with valve point loading. Journal of Energy and Power, vol. 2(4), pp. 74-80, 2012
  31. The MathWoks, Inc. MATLAB control toolbox, version 7. 13 (R2011b), MATLAB software
Index Terms

Computer Science
Information Sciences

Keywords

Integral Controller Load Frequency Control Load Perturbation Multi-area

Powered by PhDFocusTM