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Reseach Article

LoadñFrequency Control Assessment using Restoration Index with Artificial Bee Colony Algorithm for Interconnected Power System with Disturbance Accommodation Controller

by R. Jayanthi, I. A. Chidambaram
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 6
Year of Publication: 2012
Authors: R. Jayanthi, I. A. Chidambaram
10.5120/4825-7077

R. Jayanthi, I. A. Chidambaram . LoadñFrequency Control Assessment using Restoration Index with Artificial Bee Colony Algorithm for Interconnected Power System with Disturbance Accommodation Controller. International Journal of Computer Applications. 39, 6 ( February 2012), 24-36. DOI=10.5120/4825-7077

@article{ 10.5120/4825-7077,
author = { R. Jayanthi, I. A. Chidambaram },
title = { LoadñFrequency Control Assessment using Restoration Index with Artificial Bee Colony Algorithm for Interconnected Power System with Disturbance Accommodation Controller },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 6 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 24-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number6/4825-7077/ },
doi = { 10.5120/4825-7077 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:45.245891+05:30
%A R. Jayanthi
%A I. A. Chidambaram
%T LoadñFrequency Control Assessment using Restoration Index with Artificial Bee Colony Algorithm for Interconnected Power System with Disturbance Accommodation Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 6
%P 24-36
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Based on the concept of Modern Control theory, an optimal robust power system controller for power restoration problem using Disturbance Accommodation theory has been adopted in this paper. This proposed methodology is applied to a Two-Area Two-Unit thermal Reheat Interconnected Power System (TATURIPS) taking into account of Super Conducting Magnetic Energy Storage (SMES) device and Gas Turbine (GT) unit in either area to meet out the system uncertainties due to various disturbances. For Load-Frequency Control (LFC) a decentralized PI controller for each area and a centralized Disturbance Accommodation Controller (DAC) in TATURIPS co-ordinated with SMES and GT units as back-up energy suppliers have been implemented in this proposed methodology. Feasible Restoration Index (FRI) and Complete Restoration Index (CRI) are computed for various disturbances based on settling time of the output response of the system and the control input deviation. The decentralized controller is tuned using the Artificial Bee Colony (ABC) algorithm. With these two Restoration Indices obtained from the Intelligent Controller (IC) as well as DAC, the conditions required to be satisfied in ensuring the restoration of the power system are listed out and with proper implementation will result in high degree of reliability and stability of power supply reducing the frequency deviations to a greater extent and the settling time is also reduced to a minimum time span.

References
  1. Ibraheem, P. Kumar, D.P. Kothari, “Recent philosophies of automatic generation control strategies in power systems” IEEE Transactions on Power System, Vol.20, No.1, 2005, pp. 346-357.
  2. R.Roy, P.Bhatt, S.P.Ghoshal, “Evolutionary computation based Three-Area Automatic Generation Control”, Expert Systems with Applications, Vol 37, 2010, pp.5913– 24.
  3. H. Shayeghi, H.A. Shayanfar, A. Jalili, “Load Frequency Control Strategies: A state-of the-art survey for the researcher”, Energy Conversion and Management, Vol.50, No.2, 2009, pp.344-353.
  4. Chidambaram, I.A, S.Velusami, “Design of Decentralized Biased Controllers for Load Frequency Control of Interconnected Power Systems” Electric Power Components and Systems, Vol. 33, No.12, 2005, pp. 1313-1331.
  5. Elgerd,O l and Fosha,E E “ The Megawatt-FrequencyControl Problem: A new approach via optimal control theory” IEEE Trans.Pqwer Apparatus & System,Vol PAS.89,Vol 4, 1970, pp 5.
  6. Johnson,C.D “Theory of Disturbance Accommodation Controllers” in control and dynamic systems; Advances in Theory & Applications, Vol 12, Academic Press, 1976, pp.387-347.
  7. Demiroren A., “Application of a self-tuning to power system with SMES”, European Transactions on Electrical Power (ETEP), Vol. 12, N0.2, 2002, pp. 101-109.
  8. S.C.Tripathy, R.Balasubramanian, P.S.Chandramohana Nair, “Adaptive Automatic Generation Control with Super Conducting Magnetic Energy Storage in Power System”, IEEE Transactions On Energy Conversion, Vol.7, No.3, 1992, pp. 134-141.
  9. A.Demiroren, E.Yesil, “Automatic generation control With Fuzzy logic controllers in the power system including SMES units”, Electrical Power and Energy Systems, Vol:26, 2004, pp.291–305.
  10. R.J. Abraham, D. Das and A. Patra, “Automatic Generation Control of an Interconnected Hydrothermal Power System Considering Superconducting Magnetic Energy Storage”, Electrical Power and Energy Systems; Vol 29, 2007, pp. 271-579.
  11. Soon Kiat Yee, Jovica V.Milanovic, F.Michael Hughes, “Overview and comparative Analysis of Gas Turbine Models for System Stability Studies”, IEEE Trans. On Power Systems Vol.23, No.1, 2008, pp. 108-118.
  12. S.Barsali,D.poli,A.Pratico, R.Salvati, M.Sforna,R. Zaottini, “Restoration Islands Supplied by Gas Turbine”, Electric Power System Research,Vol.78, 2008, pp. 2004-2010.
  13. D.Karaboga and B.Akay, “A Comparative Study of Artificial Bee Colony Algorithm”, Applied Mathematics and Computation, Vol. 214, 2009, pp. 108-132.
  14. S.N.Omkar, J.Senthil Nath, R.Khandelwal, G.N.Naik and S.Gopalakrishnan, “Artificial Bee Colony (ABC) forMulti-Objective Design Optimization of Composite Structures”, Applied Soft Computing, Vol. 11, Issue 1, 2011, pp. 489-499.
  15. D.Karaboga, B.Basturk, “Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems”, Advances in Soft Computing: Foundations of Fuzzy Logic and Soft Computing, LNAI.4529, springer-verlag, 2007, pp.789-798.
  16. M. Shanthakumar, 1999.Computer Based Numerical Analysis, Khanna Publishers, New Delhi.
  17. Katsuhiko Ogata, 1986.Modern control Engineering, Prentice Hall of India, New Delhi.
Index Terms

Computer Science
Information Sciences

Keywords

Restoration Index Disturbance Accommodation Controller Settling Time Proportional-Integral Controller Artificial Bee Colony