A Novel Multi-Area Distribution State Estimation Approach with Nodal Redundancy

Abstract

State estimators based on load flows and applied in electrical power systems (EPS) are a basic and crucial function in energy management systems (EMS), since they must guarantee the quality of their results for decision-making. In this research, we propose a new method for partitioning an electrical system within distributed estimation processes. This method is developed under the concept of nodal redundancy and considers the number of measurements associated with each bus of the electrical system. By distributing the measurements in subsystems, such that each redundancy is evenly distributed, the proposed method aims to improve the performance of both centralized and distributed estimation techniques developed in the literature. We evaluate the proposed method by using the IEEE 14-bus and IEEE 118-bus systems, considering several operating cases and a wide array of measurements of the electrical power system. Results demonstrate the quality of the estimate and the processing time for both traditional and distributed estimates under the proposed methodology.