Estimation of magnitude and time duration of temporary overvoltages using ANN in transmission lines during power system restoration |
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| Authors: | Seyed Abbas Taher Iman Sadeghkhani |
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| Affiliation: | 1. L.V. Kirensky Institute of Physics SB RAS, 660036 Krasnoyarsk, Russia;2. Siberian State Aerospace University, 660014 Krasnoyarsk, Russia;3. Institute for High Pressure Physics, 142098 Troitsk, Moscow Region, Russia;1. GE HTC, Unit #2, Block 1, Cyber Pearl, Hitech City, Madhapur, Hyderabad, 500081, India;2. Department of Electrical Engineering, IIT Madras, Chennai, 600036, India;1. Department of Physics, Banaras Hindu University, Varanasi 221005, India;2. ISRO Satellite Centre (ISAC), Bangalore 560017, India;1. Centro de Análise Funcional e Aplicações, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal;2. Grupo de Física Matemática da Universidade de Lisboa, Av. Prof. Gama Pinto 2, PT-1649-003 Lisboa, Portugal;3. Departamento de Matemática, F. C. T., Universidade do Algarve, Campus de Gambelas, PT-8005-139 Faro, Portugal;4. Laboratoire d''Annecy-le-Vieux de Physique Théorique LAPTh, CNRS et Univerité de Savoie, UMR 5108, B.P. 110, 74941 Annecy-le-Vieux Cedex, France;5. Institute of Physics, University of Belgrade, P.O. Box 57, 11080 Belgrade, Serbia;1. Moscow Institute of Physics and Technology, Dolgoprudny, Moscow reg., Russia;2. Fachbereich C Physik, Bergische Universität Wuppertal, 42097 Wuppertal, Germany;3. Bogoliubov Institute for Theoretical Physics, NAS of Ukraine, Kiev, Ukraine;4. National Research University Higher School of Economics, Faculty of Mathematics, Moscow, Russia;5. Center for Advanced Studies, Skolkovo Institute of Science and Technology, Moscow, Russia;6. Laboratory of Theoretical Physics, JINR, Dubna, Moscow reg., Russia;7. Laboratoire de Physique Théorique LAPTh, CNRS and USMB, BP 110, 74941 Annecy-le-Vieux Cedex, France;8. Steklov Mathematical Institute of Russian Academy of Sciences, Moscow, Russia |
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| Abstract: | In most countries, the main step in the process of power system restoration, following a complete/partial blackout, is energization of primary restorative transmission lines. Artificial neural network (ANN) is employed for performing a nonlinear input–output mapping in this work, in order to estimate the temporary overvoltages (TOVs) due to transmission lines energization. In the proposed methodology, Levenberg–Marquardt second order method is used to train the multilayer perceptron. Proposed ANN is trained with equivalent circuit parameters of the network as input parameters, trained ANN has therefore satisfactory generalization capability. Both single and three-phase line energizations are analyzed. The simulated results for 39-bus New England test system, indicate that the proposed technique can estimate the peak values and duration of switching overvoltages with acceptable accuracy. |
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