E3S Web Conf.
Volume 216, 2020Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2020)
|Number of page(s)||6|
|Published online||14 December 2020|
Power system steady state calculations using artificial neural networks
1 Tashkent State Technical University named after Islam Karimov, Department of Power Plants, Networks and Systems., 100095, 2 University street, Tashkent, Uzbekistan
2 Tashkent State Technical University named after Islam Karimov, Department of Power Plants, Networks and Systems., 100095, 2 University street, Tashkent, Uzbekistan
The power systems steady-state problem are described by a system of nonlinear equations, and for their solution are widely used iterative techniques such as the Newton-Raphson and others. Recently, techniques based on the use of genetic algorithms, the theory of fuzzy sets, artificial neural networks have been applied to solve this problem. In this article feedforward neural networks are used for calculating the steady-state regimes. The modeling results were obtained with the results of calculations using the Newton-Raphson method.
© The Authors, published by EDP Sciences, 2020
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