Abstract
The Performance of a Fuzzy logic controller is limited by its large number of rules and if the rules are large then computation time and requirement of memory is large. This problem is compensated by using Polar Fuzzy logic controller. So a Polar Fuzzy logic controller is proposed for the load frequency control problem. The aim of the Polar Fuzzy Controller is to restore the frequency and tie-line power in a smooth way to its nominal value in the shortest possible time if any load disturbance is applied. System performance is examined and compared with a standard Fuzzy logic controller, and conventional controllers.
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References
Chaturvedi, D.K., Satsangi, P.S., Kalra, P.K.: Load frequency control: a generalized neural network approach. Int. J. on Electric Power and Energy Systems 21(6), 405–415 (1999)
Chaturvedi, D.K.: Electrical Machines Lab Manual with Matlab Programs. University Science Press, New Delhi (2010)
Moon, Y.H., Ryu, H.S., Kim, B., Kim, S., Park, S.C.: Fuzzy logic based extended integral control for load frequency con. IEEE Power Engineering Society Winter Meeting 3, 1289–1293 (2001)
Anand, B., Jeyakumar, A.E.: Load frequency control with fuzzy logic controller considering non-linearities and boiler dyna. ICGST-ACSE Journal 8, 15–20 (2009)
Mathur, H.D., Manjunath, H.V.: Study of dynamic performance of thermal units with asynchronous tie-lines using fuzzy based cont. Journal of Electrical System 3, 124–130 (2007)
Chaturvedi, D.K.: Modeling and Simulation of Systems Using Matlab@/Simulink@. CRC Press, New York (2009)
Das, D., Kothari, M.L., Kothari, D.P., Nanda, J.: Variable structure control strategy to automatic generation control of interconnected reheat thermal systems. Proc. Inst. Elect. Eng. Contr. Theory App. 138(6), 579–585 (1991)
Ogata, K.: Modern control engineering. PHI Publication (2002)
Moon, Y.H., Ryu, H.S., Choi, B.K., Cho, B.H.: Modified PID load frequency control with the consideration of valve position limits. IEEE Power Engineering Society Winter Meeting 1, 701–706 (1999)
Nanda, J., Mangla, A.: Automatic generation control of an interconnected hydro-thermal system using conventional integral and fuzzy logic controller. In: IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, vol. 1, pp. 372–377 (2004)
Ibraheem, K.P., Kothari, D.P.: Recent philosophies of automatic generation control strategies in power systems. IEEE Transactions on Power Systems 20(1), 346–357 (2005)
Chaturvedi, D.K.: Soft Computing: Applications to electrical engineering problem. Springer, Berlin (2008)
Kundur, P.: Power system stability and control. TMH Publication (2007)
Chaturvedi, D.K., Malik, O.P., Choudhury, U.K.: Polar fuzzy adaptive power system stabilizer. J. of The Institution of Engineers 90, 35–45 (2009)
Nagrath, I.J., Kothari, D.P.: Power System Engineering. TMH Publication (2005)
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Umrao, R., Chaturvedi, D.K., Malik, O.P. (2011). Load Frequency Control: A Polar Fuzzy Approach. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2011. Lecture Notes in Computer Science, vol 7076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27172-4_60
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DOI: https://doi.org/10.1007/978-3-642-27172-4_60
Publisher Name: Springer, Berlin, Heidelberg
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