Power Grid Partitioning: Static and Dynamic Approaches

This paper presents three power grid partitioning methods, which are classified into two categories: static and dynamic approaches. In the static approaches, spectral clustering method based on eigenvectors of the graph Laplacian and mixed-integer programming (MIP) strategy have been used to partition a grid. In dynamic approach, slow coherency based on the eigenvector of inter-area oscillation mode is used for generator grouping. We show the three methods lead to the same partitioning results and give the underlying reason.