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

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.

[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.