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Deep Learning For Power Flow Estimation And High Impedance Fault Detection, Kun Yang
Deep Learning For Power Flow Estimation And High Impedance Fault Detection, Kun Yang
Electronic Theses and Dissertations
My thesis is divided into two parts.
The first part is: “Optimal Power Flow Estimation Using One-Dimensional Convolutional Neural Network [1]“. Optimal power flow (OPF) is an important research topic in power system operation and control decisions. Traditional OPF problems are solved through dynamic optimization with nonlinear programming techniques. For a large power system with large amounts of variables and constraints, the solving process would take a long time. This paper presents a new method to quickly estimate the OPF results using a one-dimensional convolutional neural network (1D-CNN). The OPF problem is treated as a high-dimensional mapping between the load …