{"title":"Automatic Generation Control of Interconnected Power System with Generation Rate Constraintsby Hybrid Neuro Fuzzy Approach","authors":"Gayadhar Panda, Sidhartha Panda, C. Ardil","volume":64,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":471,"pagesEnd":477,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/7268","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.<\/p>\r\n","references":"[1] A. J. Wood, B. F. Woolenberg, Power Generation Operation and\r\nControl, John Wiley and Sons, 1984.\r\n[2] M. Gopal, \"Modern control system theory\", Wiley Eastern Ltd., 2nd\r\nedison, 1993.\r\n[3] O. l. Elgerd, Electric energy Systems Theory - An Introduction,\r\nMcGraw Hill Co., 2001.\r\n[4] I. J. Nagrath and D. P. Kothari, Power System Engineering, McGraw\r\nHill Co., 1998.\r\n[5] G. W. Stagg and A. H. El-Abiad, Computer Methods in Power System\r\nAnalysis, McGraw Hill Co., 1985.\r\n[6] H.J. Kunish, K.G. Kramer and H. D. Dominik, \"Battery energy storage -\r\nAnother option for load-frequency control and instantaneous reserve\",\r\nIEEE Trans. Energy Convers., Vol. EC-1, No. 3, Sept. 1986, pp. 46-51.\r\n[7] S. Banerjee, J.K. Chatterjee and S.C. Tripathy, \"Application of magnetic\r\nenergy storage unit as load frequency stabilizer\", IEEE Trans. Energy\r\nConvers., Vol. 5, No. 1, March 1990, pp. 46-51.\r\n[8] N. Jaleeli, L. VanSlyck, D. Ewart, L. Fink, and A. Hoffmann,\r\n\"Understanding automatic generation control\", IEEE Trans. Power Syst.,\r\nVol. 7, No. 3, pp. 1106-1122, Aug. 1992.\r\n[9] M. L. Kothari, J. Nanda, D. P. Kothari, and D. Das, \"Discrete-mode\r\nautomatic generation control of a two-area reheat thermal system with\r\nnew area control error\", IEEE Trans. Power Syst., Vol. 4, No. 2, pp.\r\n730-738, May 1989.\r\n[10] K.Venkateswarlu and A.K. Mahalanabis, \"Load frequency control using\r\noutput feedback\", Journal of The Institution of Engineers (India), pt. El-\r\n4, Vol. 58, pp. 200-203,Feb. 1978.\r\n[11] M. Aldeen and H. Trinh, \"Load frequency control of interconnected\r\npower system via constrained feedback control schemes\", Computer and\r\nElectrical Engineering, Vol. 20, No. 1, 1994, pp. 71-88.\r\n[12] A.M.Panda, \"Automatic generation control of multi area interconnected\r\npower system considering non linearity due to governor dead band\",\r\nArchives of Control Sciences,Vol. 7(XLIII), no.3-4, pp. 285-299, 1998.\r\n[13] M. Sheirah and M. M. Abd, \"Improved load frequency self tuning\r\nregulator\", Int. J. Control, Vol. 39, No. 1, 1984, pp. 143-158.\r\n[14] K. Yamashita, and H. Miyagi, \" Multivariable Self-tuning regulator for\r\nload frequency control system with interaction of voltage on Load\r\nDemand\", IEE Proceedings-D, Vol. 138, No. 2, March 1991.\r\n[15] J. Kannish, et al, \"Microprocessor-Based Adaptive load frequency\r\ncontrol\", IEE Proceedings-C, Vol. 131, No. 4, July 1984.\r\n[16] S. Mishra, A.K. Pradhan and P.K. Hota, \"Development and\r\nImplementation of a Fuzzy logic based constant speed DC Drive\",\r\nJournal of Electrical Division of Institution of Engineers (India), Vol.\r\n79, pp. 146-149, Dec. 1998.\r\n[17] J.Lee, \"On methods for improving performance of PI-type fuzzy logic\r\ncontrollers\", IEEE Trans. On Fuzzy Systems, Vol. 1, No. 4, pp. 298,\r\nNov. 1993.\r\n[18] G.A.Chown and R.C.Hartman, \"Design and experience with a Fuzzy\r\nLogic Controller for Automatic Generation Control (AGC)\", IEEE\r\nTrans. Power Syst., Vol. 13, No. 3, pp. 965-970, Nov. 1998.\r\n[19] W. C. Chan and Y. Y. Hsu, \"Automatic Generation of Interconnected\r\nPower Systems using Variable Structure Controllers\", IEE Proc., pt. C,\r\nVol. 128, No. 5, Sept.1981, pp. 269-279.\r\n[20] A. Kumar, O. P. Malik and G. S. Hope, \"Variable Structure System\r\nControl Applied to AGC of an Inter-Connected Power System\", IEEE\r\nProc., Gener. Transm. Distrib., Vol. 132, No. 1, 1985, pp. 23-29.\r\n[21] J.R. Jang, \"ANFIS: Adaptive-network-Based Fuzzy Inference System\",\r\nIEEE Trans. On Systems, Man and Cybernetics, Vol. 23, No.3, pp. 665-\r\n685, May. 1993.\r\n[22] Gayadhar Panda, Sidhartha Panda and C. Ardil, \"Hybrid Neuro Fuzzy\r\nApproach for Automatic Generation Control of Two-Area\r\nInterconnected Power System\", International Journal of Computational\r\nIntelligence, Vol. 5, No. 1, pp. 80-84, 2009.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 64, 2012"}