Generating synthetic electric power system data with accurate electric topology and parameters

In this paper we review and expand our previous work on developing random topology networks as a way to generate synthetic power grid data. We first present an algorithm that is able to generate the small-world “eletric” topology appropriate for a transmission network. Next we re-examine the definitions of the proposed numerical measure called “Bus Type Entropy”, to characterize the correlated assignment of generation, load, and connection buses in a real power grid, using the IEEE test cases and newly obtained realistic grid data. In order to study the scaling property of bus type assignment versus network work, we revise the entropy definition for better statistical property and improved numerical stability. We then develop an more efficient search algorithm for the best bus type assignments with the help of the derived scaling function. Finally we introduce some most recent work to generate other electrical parameters such as generation capacities and load settings.