Load Balancing and Interlacing of Storage Units in Smart Grids

In this paper, a method of load balancing of smart grids is presented that is performed by identifying clusters and modular areas in the power grids. The approach starts with finding a connectivity matrix for the system and identifying the sources and the sinks of perturbation. Then power flow analysis is performed for each node in the system. After checking for the convergence of the power flow results, the network analysis of modularity, clustering, and finding paths is performed. The results of the cluster and modular area identification are used to perform a new interlacing method of storage units connected to the grid. The proposed interlacing method could be used to improve the resilience of power grids by allocating storage units following the dynamic changes in the grid. The new storage allocation method could be coupled with machine learning methods that could improve the results of the dynamic storage allocation in the system.