distribution system state estimation, decoupled methods, complex per unit normalization, Sparse Tableau, a priori information
Abstract
Due to the increasing participation of alternative and intermittent energy sources, which induce changes in the structure and operation of distribution systems, algorithms for state estimation have been developed in recent years in response to the need for real-time monitoring for these systems. In this scenario, this paper proposes the development of a methodology for state estimation for distribution systems. The proposed formulation combines decoupling approaches, recognized for reducing computational effort, with the Sparse Tableau Method and a priori information, with decoupling in distribution networks enabled by the use of the complex per unit normalization technique. To demonstrate the performance of the proposed methodology, tests were conducted on an illustrative test system and on a 69-bar test system.
