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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-article-BPS3-0025-0060

Czasopismo

Przegląd Elektrotechniczny

Tytuł artykułu

Evaluation of lightning return stroke parameters using measured magnetic flux density and pso algorithm

Autorzy Izadi, M.  Ab Kadir, M. Z.  Gomes, C.  Askari, M. T. 
Treść / Zawartość http://pe.org.pl/
Warianty tytułu
PL Analiza prądu w kanale wyładowania piorunowego na podstawie pomiaru indukcji magnetycznej z wykorzystaniem algorytmu PSO
Języki publikacji EN
Abstrakty
EN Return stroke current along lightning channel is reckoned as a fundamental factor for the prediction of electromagnetic fields at observation points, whilst it can be simulated by current models. The most common current model is the engineering model which is more dependent on the height dependent attenuation factor and the return stroke velocity. Yet, the estimation of constant parameters at attenuation factor and return stroke velocity value are complicated. Using measured values and the PSO (particle swarm optimization) optimization method, this paper aimed at determining the values of current velocity along lightning channel and constant parameters in MTLE and MTLL engineering current models and the behaviour of both current models with respect to measured field were processed where the observation point is set at intermediated distance from lightning channel. Moreover, the results were compared with the previous results and were validated with the measured fields. The results illustrated that the MTLL model cannot be as an appropriate current model compared to MTLE current model for the intermediate distance case. Also, the results based on the MTLE model and the initial data determined by PSO algorithm were in good agreement with the measured fields. The proposed method was also capable of setting up appropriate values for unknown parameters in return stroke current models. In addition, the simulated field using the MTLE current model and initial data from PSO algorithm improved the average difference in percent between simulated field and measured field compared to the initial data from previous studies.
PL W artykule analizuje się prędkość prądu w kanale wyładowania piorunowego. Do tego celu wykorzystuje się dane pomiarowe i algorytm PSO. Metodę tę porównano z klasyczną metodą bazującą na określaniu tłumienia i szybkości uderzenia powrotnego. (Analiza prądu w kanale wyładowania piorunowego na podstawie pomiaru indukcji magnetycznej z wykorzystaniem algorytmu PSO)
Słowa kluczowe
PL wyładowanie piorunowe   pole elektromagnetyczne   algorytm PSO  
EN lightning   electromagnetic fields   lightning channel   PSO  
Wydawca Wydawnictwo SIGMA-NOT
Czasopismo Przegląd Elektrotechniczny
Rocznik 2012
Tom R. 88, nr 10a
Strony 201--204
Opis fizyczny Bibliogr. 16 poz., rys., tab.
Twórcy
autor Izadi, M.
autor Ab Kadir, M. Z.
autor Gomes, C.
autor Askari, M. T.
Bibliografia
[1] Rakov.V and Uman.M, Review and evaluation of lightning return stroke models including some aspects of their application. IEEE Transactions on Electromagnetic Compatibility, 1998. 40(4): p. 403-426.
[2] Delfino.F,Procopio.R and Rossi.M , Lightning Channel-Base Current Identification as Solution of a Volterra-like Integral Equation. Open Atmospheric Science Journal, 2008. 2: p. 160-165.
[3] Nucci.C.A., Lightning-induced voltages on overhead power lines. Part I: return stroke current models with specified channel-base current for the evaluation of the return stroke electromagnetic fields. Electra, 1995. 161: p. 75–102.
[4] Cooray.V, The lightning flash. Vol. 34. 2003: Iet.
[5] Poli.R, An analysis of publications on particle swarm optimization applications. Essex, UK: Department of Computer Science, University of Essex, 2007.
[6] Poli,R, Analysis of the publications on the applications of particle swarm optimisation. Journal of Artificial Evolution and Applications, 2008. 2008: p. 3.
[7] Poli.R,Kennedy.J, and Blackwell.T, Particle swarm optimization. Swarm intelligence, 2007. 1(1): p. 33-57.
[8] Rakov.V,Uman.M, and Rambo.K, A review of ten years of triggered-lightning experiments at Camp Blanding, Florida. Atmospheric Research, 2005. 76(1-4): p. 503-517.
[9] Andreotti.A,Delfino.F,Girdinio.P,Verolio.L, An identification procedure for lightning return strokes. Journal of Electrostatics, 2001. 51: p. 326-332.
[10] Heidler.F, Analytische Blitzstromfunktion zur LEMPBerechnung, in 18th ICLP 1985: Munich, Germany. p. 63-66.
[11] Diendorfer.G. and Uman.M, An Improved Return Stroke Model with Specified Channel-Base Current Journal of Geophysical Research-Atmospheres, 1990. 95: p. 13,621–13,644.
[12] Rakov.V, lightning return stroke speed. Journal of lightning Research, 2007. 1.
[13] Izadi.M and Kadir.M.Z, New Algorithm for Evaluation of Electric Fields due to Indirect Lightning Strike. Computer Modeling in Engineering & Sciences(CMES), 2010. 67(1): p. 1-12.
[14] Izadi.M, Khadir.M.Z, Gomes.C and Ahmad,W, An analytical second-FDTD method for evaluation of electric and magnetic fields at intermediate distances from lightning channel. Progress In Electromagnetics Research, 2010. 110: p. 329-352.
[15] Rachidi.F, effects electromagnetiques de la foudre sur les lignes de transmission aerienne,modelisation et simulation. 1991, Ecol Polytechnique Federal De Lausanne: Lausanneswiss.
[16] Feizhou.Z and Shanghe.L, A New Fubction to represent the lightning return stroke currents. IEEE Transactions on Electromagnetic Compability 2002. 44(4).
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