Maqola

Power system steady state calculations using artificial neural networks

Muzaffar KhudayarovTashkent State Technical University named after Islam Karimov, Department of Power Plants, Networks and Systems., 100095, 2 University street, Tashkent, UzbekistanNuriddin NormamatovTashkent State Technical University named after Islam Karimov, Department of Power Plants, Networks and Systems., 100095, 2 University street, Tashkent, Uzbekistan

E3S Web of Conferencesjournal2020en

ABI

Annotatsiya

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.

Mavzular

Energy Load and Power Forecasting Power System Optimization and Stability Neural Networks and Applications

Identifikatorlar

DOI: 10.1051/e3sconf/202021601102

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