Power Grids Partitioning by Detection of Electrical Communities

In rapidly evolving power grids, effective partitioning strategies are critical for ensuring stability, reliability, and efficiency in subsystems and even the operation of the entire system. Community detection has been considered promising in power grids partition recently, but the electrical features were not well integrated with most conventional algorithms. This study proposes a novel Inversed Girvan-Newman Algorithm to partition power grids. Compared with traditional Girvan-Newman Algorithm, the updated electrical betweenness plays a totally different role in principle according to basic understanding of electrical community. Case studies in IEEE-lIS and IEEE-300 bus transmission networks are implemented to detect electrical communities, which has shown better performance in modularity, boundary flow, and subsystem operational cost.