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Vol: 50(64) No: 1 / March 2005       Peak Power Optimization Based on Nonlinear Prediction and Fuzzy Logic Zoran Jovanovic Department of Automatic Control, University of Nis, Faculty of Electronic Engineering, Aleksandra Medvedeva 14, 180000 Nis, Serbia and Montenegro, phone: (381) 18529421, e-mail: zoki@elfak.ni.ac.yu, web: http://www.elfak.ni.ac.yu Bratislav Dankovic Department of Automatic Control, University of Nis, Faculty of Electronic Engineering, Aleksandra Medvedeva 14, 180000 Nis, Serbia and Montenegro, e-mail: dankovic@elfak.ni.ac.yu Dragan Antic Department of Automatic Control, University of Nis, Faculty of Electronic Engineering, Aleksandra Medvedeva 14, 180000 Nis, Serbia and Montenegro, e-mail: dantic@elfak.ni.ac.yu Keywords: peak power, nonlinear prediction, fuzzy logic. Abstract A new peak power optimization algorithm of the electric energy consumption with nonlinear prediction is presented in this paper. The system parameters for optimization are adjusted using fuzzy logic. References [1] C. Moraga, “Introduction to fuzzy logic”, Facta Universitatis Series: Electronics and Energetics, Vol. 18, 2005, pp. 319-328. [2] R. -E. Precup and S. Preitl, Fuzzy Controllers, Editatura Orizonturi Universitare Timişoara, 1999. [3] S. Guillaume and B. Charnomordic, “Generating an interpretable family of fuzzy systems”, IEEE Transactions on Fuzzy Systems, Vol. 12, 2004, pp. 324-335. [4] A. E. Gaweda and J. M. Zürada, “Data-driven linguistic modeling using relational fuzzy rules”, IEEE Transactions on Fuzzy Systems, Vol. 11, 2003, pp. 121-134. [5] M. R. Emami, I. B. Turksen, and A.A. Goldenberg, “Development of a systematic methodology of fuzzy logic modeling”, IEEE Transactions on Fuzzy Systems, Vol. 6, 1998, p.p. 346-361. [6] J. H. Ahlberg, The Theory of Splines and their Applications, Academic Press, New York, 1987. [7] L. L. Schumaker, Approximation by Spline Functions, Academic Press, New York, 1991. [8] Lj. Kocić and B. Danković, "Process Identification using B-splines", Numerical Methods and Approximation, Nis, 1987. [9] B. M. Danković, D. S. Antić, and Z. D. Jovanović, Process Control-Process Identification, Faculty of Electronic Engineering, Nis, 1996. [10] Z. D. Jovanović, and B. M. Danković, “A new algorithm of the optimal control of the electrical energy consumption”, Proc IV SAUM Conference, Kragujevac, 1992, pp. 406-417. [11] M. Jevtić and Z. D. Jovanović, “Microprocessor system for electric energy consumption optimisation”, Proc JUREMA 36 Conference, Zagreb - Tuheljske Toplice, 1991, pp. 1.123-1.125. [12] B. M. Danković and Z. D. Jovanović, “Simulation of a system for electric energy consumption optimisation”, Proc JUREMA 36 Conference, Zagreb - Tuheljske Toplice, 1991, pp. 1.84-1.87.