Voltage Disturbance Localization Method Based on Digital Twin

With the growing demand for electrical energy, control and location of voltage transients have become essential in power systems. However, current methods have limitations, especially in complex distribution networks. In this paper, we propose a method that utilizes digital twin technology and artificial intelligence-based neural network models to accurately and efficiently locate voltage transients. The output of the technique provides accurate data reflecting the location of the transient source, suitable for handling voltage transients that occur in complex power systems. Through simulation examples and result analysis, the effectiveness of this proposed method is verified. This approach can reduce economic losses associated with high-end manufacturing industries while contributing to the overall stability and safety of the power grid.