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Determination of optimal current in the non-ideal one-phase system with unsteady parameters

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Języki publikacji
EN
Abstrakty
EN
Some of parameters in electrical systems cannot be considered as constants. In particular, some electrical loads should be described as unsteady because of physical reasons, e.g. arc and arc-resistance furnaces. One of the method to describe parameters of such loads is description by fuzzy numbers. Moreover, this description enables to determine optimal current of the system with unsteady parameters by an application of the optimisation technique called as fuzzy mathematical programming. The optimisation problem has been presented for one-phase system with sinusoidal waveforms. The obtained solution (optimal current) can be determined as crisp one (real numbers) in frequency domain in the numerical way. The determined optimal current has minimal RMS value in this case when the power constraints do not have to be fulfilled strictly because of changes of system parameters. It means simultaneously the minimisation of power losses in the system. This solution generalizes the classical optimisation solution obtained for the systems with constant parameters. In order to illustrate the problem the appropriate example has been presented.
Rocznik
Strony
387--391
Opis fizyczny
Bibliogr. 9 poz., rys., wykr.
Twórcy
autor
  • Institute of Industrial Electrotechnics and Informatics, Silesian University of Technology, 10 Akademicka St., 44-100 Gliwice, Poland
Bibliografia
  • [1] A. Nocoń and S. Paszek, “Synthesis of generator voltage regulator when applying polyoptimisation”, Bull. Pol. Ac.: Tech. 55 (1), 43–38 (2007).
  • [2] T. Orlowska-Kowalska and M. Dybkowski, “Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drivewith MRAS-type speed estimator”, Bull. Pol. Ac.: Tech. 60 (1), 61–70 (2012).
  • [3] S. Osowski, K. Brudzewski, and L. Tran Hoai, “Modified neurofuzzy TSK network and its application in electronic nose”, Bull. Pol. Ac.: Tech. 61 (3), 675–680 (2013).
  • [4] F.G. Bagriyanik, Z.E. Aygen, and M. Bagriyanik, “Power loss minimization using fuzzy multiobjective formulation and genetic algorithm”, Proc. IEEE Power Tech Conf. Proceedings 4, 0-7803-7967-5 (2003).
  • [5] Y.H. Song and A.T. Johns, “Applications of fuzzy logic in power systems. Part 3. Example applications”, Power Engineering J. 13, 97–103 (1999).
  • [6] C. Zhao, Y. Deng, and X. Ren, “Reactive power optimization with time-varying fuzzy load demand for distribution systems”, Proc. Int. Conf. on Power System Technology 1, 2326-2330 (2002).
  • [7] L.A. Zadeh, “Fuzzy sets”, Inf. and Control 8, 338–353 (1965).
  • [8] J. Kacprzyk, Fuzzy Sets in Systems Analysis, PWN, Warsaw, 1986, (in Polish).
  • [9] K. Dębowski, Application of Fuzzy Sets in Description and Optimization of Energy Conditions in Electrical Systems as Developing and Generalization of Classical Methods, Publishing House of Silesian University of Technology, Gliwice, 2011, (in Polish).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-beca81e3-8e71-41da-86d8-3a8257d4f80f
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