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  • A comparative study of surrogate based learning methods in solving power flow problem 

    Authors:Ceylan, Oğuzhan; Taşkın, Gülsen; Paudyal, Sumit
    Publisher and Date:(IEEE, 2020)
    Due to increasing volume of measurements in smart grids, surrogate based learning approaches for modeling the power grids are becoming popular. This paper uses regression based models to find the unknown state variables on power systems. Generally, to determine these states, nonlinear systems of power flow equations are solved iteratively. This study considers that the power flow problem can be modeled as an data driven type of a model. Then, the state variables, i.e., voltage magnitudes and phase ...