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000000105 001__ 105
000000105 037__ $$aENY-ARTICLE-2008-087
000000105 041__ $$aeng
000000105 088__ $$aI07/1994/I-184
000000105 100__ $$aCichocki, A$$uWarsaw University of Technology, Poland
000000105 245__ $$aNeural networks for real-time estimation of parameters of signals in power systems
000000105 260__ $$c1994-01-01
000000105 300__ $$a8p
000000105 500__ $$aInternational Conference on Intelligent System Application to Power Systems. ISAP '94. Proceedings, Montpellier, France, September 5-9, 1994. Vol. 2 / Eds A. Hertz, A. T. Holen, I.-C. Rault. Nanterre : EC2, 1994. pp. 749-756
000000105 520__ $$aFast determination of parameters of the fundamental waveform of voltages and currents is essential for the control and protection of electrical power systems. Most of the known digital algorithms are not fully parallel, so that the speed of processing is quite limited. New parallel algorithms, which can be implemented by analogue adaptive circuits employing some neural networks principles, are proposed. The problem of estimation is formulated as an optimization problem and solved by using the gradient descent method. Algorithms based on the least absolute value, the minimax, the least-squares and the robust leastsquares criteria are developed and compared. The networks process samples of observed noisy signals (voltages or currents) and give as a solution the desired parameters of signal components. Extensive computer simulations confirm the validity and performance of the proposed algorithms and neural network realizations. The proposed methods seem to be particularly useful for real-time, high-speed estimation of parameters of sinusoidal signals in electrical power systems.
000000105 6531_ $$aneural networks
000000105 6531_ $$aestimation
000000105 6531_ $$asignal processing
000000105 6531_ $$aelectric power systems
000000105 700__ $$aKostyla, P$$uWroclaw University of Technology, Poland
000000105 700__ $$aLobos, T$$uWroclaw University of Technology, Poland
000000105 700__ $$aWaclawek, Z$$uWroclaw University of Technology, Poland
000000105 8560_ $$
000000105 8564_ $$u$$zAccess to Fulltext
000000105 909CO $$$$pglobal
000000105 980__ $$aARTICLE