Abstract: Under the double-carbon goal, the construction of a new power system with new energy as the main body is the main direction and key way to realize the transformation and upgrading of the power industry. The research on fast and accurate transient power angle stability evaluation under the background of new power systems is of great significance. To this end, the paper proposes a new transient power angle stability evaluation method for power systems with grid-forming new energy based on the physics-informed sequence-to-sequence neural networks (PI-seq2seq) and cascaded convolutional neural networks model. First, the PI-seq2seq network 

Key words: grid-forming new energy, physics-informed sequence-to-sequence neural networks (PI-seq2seq), power angle trajectory prediction, cascade convolutional neural networks, transient power angle stability assessment