Computational aspects of object-oriented distribution state estimation Invited paper

Abstract

Object-oriented (OO) state estimation modeling has been recently proposed, for both radial and weakly meshed distribution systems. The OO algorithm is based on the Newton's iterative method, widely adopted to find a solution to the state estimation problem. For radial topologies, the OO algorithm derives from the Newton's method. Weakly meshed topologies are treated with radial equivalents; the OO approach introduces some approximations. The convergence performance of the OO algorithm is investigated on a 69-branch system.