Power System Transient Voltage Stability Region Boundary Approximation and Stability Margin Estimation Based on Residual Neural Network

Due to the complexity and diversity of the new power system, the traditional mechanism stability assessment methods have shortcomings such as poor applicability and low computational efficiency. The intelligent assessment methods represented by the neural network have outstanding advantages in terms of efficiency. But it is difficult to be understood by power system operators due to their black box property, which seriously affects their practicability. Therefore, taking the transient voltage stability problem as an example, this paper proposes a method to derive the analytical expression of the transient voltage stability region (TVS) boundary. On the one hand, the proposed method establishes the connection between the mechanical transient voltage stability assessment and the intelligent assessment based on the neural network. On the other hand, the proposed method constructs the stability margin estimation based on boundary approximation, which further improves the practicability of the intelligent assessment method. Test results on the dual induction motor 4-bus system and IEEE 39-bus system verify the effectiveness of the proposed method.