To cope with rapidly fluctuating distributed energy resources and uncontrolled loads

this paper formulates a time-varying dispatching model for distribution grids considering the uncertainty of feeder parameters

and develops a novel tracking algorithm by utilizing time-varying information of objective functions and constraints. Unlike existing methods

the proposed approach aims to build a dynamic system to obtain the evolution of the optimal trajectory

which demonstrates online tracking capability with an asymptotically vanishing error. The proposed approach contains two key terms: a prediction term tracking change in the optimal solution based on the time-varying nature of system power

and a correction term pushing the solution toward the optimum based on Newton's method. Moreover

the proposed algorithm can be applied in the absence of an accurate network model by leveraging voltage measurements to identify true voltage sensitivity parameters. Simulations for a sample distribution network are carried out to verify the approach.