Fast Model-Based Transformer Protection: A Multiple Linear Model-Based Algorithm

Model-based algorithms have been introduced as a practical solution for transformer protection. Compared with conventional protection functions, these methods provide more secure and dependable performance under challenging network conditions, although their high computational burden remains a limitation. This paper presents a fast model-based algorithm that not only requires lower computational burden compared with existing model-based algorithms, but also delivers comparable effectiveness. The proposed approach uses multiple linear models (MLMs) to approximate the nonlinear magnetizing characteristic of the transformer core. By replacing a single nonlinear model with several linear models, the computational burden is reduced while maintaining modeling accuracy. Simulation results have been employed to show the effectiveness of the proposed algorithm.