Research on the Quantitative Evaluation of the Three-Dimensional Seismic Resilience of Power Systems Based on an Improved Genetic Algorithm

In this study, a three-dimensional (3D) performance function is established to evaluate 3D seismic resilience, and a multiobjective optimization scheduling model based on node importance and repair order evaluation indicators is developed. On the basis of sequential coding, considering the number of repair teams, the concept of a "repair team vector" is proposed, and an improved genetic algorithm based on the Pareto dominance relationship and an elite file strategy is introduced to screen for the optimal postearthquake repair scheduling scheme. The results demonstrate that the developed optimization scheduling model yields improved computational accuracy and speed in the case evaluations.