Dynamic Topology Awareness and Localization for Power Distribution Networks Considering Non-Gaussian Noise

Increasing operational flexibilities of power system devices and generation/load components have intensified the dynamic changing of power network topologies. Dynamic Topology Awareness (DTA) with limited measurements are vital for subsequent analyses and operations of power distribution networks. Considering the economical limitation of extensive installations of PMUs, thus, we proposed in this paper a DTA method through capturing perturbations in voltage amplitude covariance matrix with statistical inference model that considering non-Gaussian noise and requiring only synchronous measurements of voltage amplitudes. The method was developed and proved to be robust without preconditions of Gaussian noises which is more accordant with practical circumstances. Simulations are performed based on IEEE 123 system, and three types of DTA scenarios can be effectively detected and located with high accuracy.