Automatic Generation Control of Interconnected Power System with Generation Rate Constraintsby Hybrid Neuro Fuzzy Approach

Authors: Gayadhar Panda, Sidhartha Panda, C. Ardil

Abstract:

The design of Automatic Generation Control (AGC) system plays a vital role in automation of power system. This paper proposes Hybrid Neuro Fuzzy (HNF) approach for AGC of two-area interconnected reheat thermal power system with the consideration of Generation Rate Constraint (GRC). The advantage of proposed controller is that it can handle the system non-linearities and at the same time the proposed approach is faster than conventional controllers. The performance of HNF controller has been compared with that of both conventional Proportional Integral (PI) controller as well as Fuzzy Logic Controller (FLC) both in the absence and presence of Generation Rate Constraint (GRC). System performance is examined considering disturbance in each area of interconnected power system.

Keywords: Automatic Generation Control (AGC), Dynamic Response, Generation Rate Constraint (GRC), Proportional Integral(PI) Controller, Fuzzy Logic Controller (FLC), Hybrid Neuro-Fuzzy(HNF) Control, MATLAB/SIMULINK.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333486

References:

[1] A. J. Wood, B. F. Woolenberg, Power Generation Operation and Control, John Wiley and Sons, 1984.
[2] M. Gopal, "Modern control system theory", Wiley Eastern Ltd., 2nd edison, 1993.
[3] O. l. Elgerd, Electric energy Systems Theory - An Introduction, McGraw Hill Co., 2001.
[4] I. J. Nagrath and D. P. Kothari, Power System Engineering, McGraw Hill Co., 1998.
[5] G. W. Stagg and A. H. El-Abiad, Computer Methods in Power System Analysis, McGraw Hill Co., 1985.
[6] H.J. Kunish, K.G. Kramer and H. D. Dominik, "Battery energy storage - Another option for load-frequency control and instantaneous reserve", IEEE Trans. Energy Convers., Vol. EC-1, No. 3, Sept. 1986, pp. 46-51.
[7] S. Banerjee, J.K. Chatterjee and S.C. Tripathy, "Application of magnetic energy storage unit as load frequency stabilizer", IEEE Trans. Energy Convers., Vol. 5, No. 1, March 1990, pp. 46-51.
[8] N. Jaleeli, L. VanSlyck, D. Ewart, L. Fink, and A. Hoffmann, "Understanding automatic generation control", IEEE Trans. Power Syst., Vol. 7, No. 3, pp. 1106-1122, Aug. 1992.
[9] M. L. Kothari, J. Nanda, D. P. Kothari, and D. Das, "Discrete-mode automatic generation control of a two-area reheat thermal system with new area control error", IEEE Trans. Power Syst., Vol. 4, No. 2, pp. 730-738, May 1989.
[10] K.Venkateswarlu and A.K. Mahalanabis, "Load frequency control using output feedback", Journal of The Institution of Engineers (India), pt. El- 4, Vol. 58, pp. 200-203,Feb. 1978.
[11] M. Aldeen and H. Trinh, "Load frequency control of interconnected power system via constrained feedback control schemes", Computer and Electrical Engineering, Vol. 20, No. 1, 1994, pp. 71-88.
[12] A.M.Panda, "Automatic generation control of multi area interconnected power system considering non linearity due to governor dead band", Archives of Control Sciences,Vol. 7(XLIII), no.3-4, pp. 285-299, 1998.
[13] M. Sheirah and M. M. Abd, "Improved load frequency self tuning regulator", Int. J. Control, Vol. 39, No. 1, 1984, pp. 143-158.
[14] K. Yamashita, and H. Miyagi, " Multivariable Self-tuning regulator for load frequency control system with interaction of voltage on Load Demand", IEE Proceedings-D, Vol. 138, No. 2, March 1991.
[15] J. Kannish, et al, "Microprocessor-Based Adaptive load frequency control", IEE Proceedings-C, Vol. 131, No. 4, July 1984.
[16] S. Mishra, A.K. Pradhan and P.K. Hota, "Development and Implementation of a Fuzzy logic based constant speed DC Drive", Journal of Electrical Division of Institution of Engineers (India), Vol. 79, pp. 146-149, Dec. 1998.
[17] J.Lee, "On methods for improving performance of PI-type fuzzy logic controllers", IEEE Trans. On Fuzzy Systems, Vol. 1, No. 4, pp. 298, Nov. 1993.
[18] G.A.Chown and R.C.Hartman, "Design and experience with a Fuzzy Logic Controller for Automatic Generation Control (AGC)", IEEE Trans. Power Syst., Vol. 13, No. 3, pp. 965-970, Nov. 1998.
[19] W. C. Chan and Y. Y. Hsu, "Automatic Generation of Interconnected Power Systems using Variable Structure Controllers", IEE Proc., pt. C, Vol. 128, No. 5, Sept.1981, pp. 269-279.
[20] A. Kumar, O. P. Malik and G. S. Hope, "Variable Structure System Control Applied to AGC of an Inter-Connected Power System", IEEE Proc., Gener. Transm. Distrib., Vol. 132, No. 1, 1985, pp. 23-29.
[21] J.R. Jang, "ANFIS: Adaptive-network-Based Fuzzy Inference System", IEEE Trans. On Systems, Man and Cybernetics, Vol. 23, No.3, pp. 665- 685, May. 1993.
[22] Gayadhar Panda, Sidhartha Panda and C. Ardil, "Hybrid Neuro Fuzzy Approach for Automatic Generation Control of Two-Area Interconnected Power System", International Journal of Computational Intelligence, Vol. 5, No. 1, pp. 80-84, 2009.