Abstract

With increasing deployment of smart meters and other smart grid sensors in distribution systems, the amount of available measurements has been growing. This change enables implementation of comprehensive distribution system state estimators, a basic tool that provides the real-time model and operating conditions of the distribution network. The performance of many smart grid applications is dependent upon an accurate and reliable real-time model. This paper presents the development of a distributed quasi-dynamic state estimator (DS-DQSE) for distribution systems utilizing smart meter and other sensor data, as well as traditional SCADA data. The DS-DQSE implementation described in this paper works for both radial or meshed distribution networks and variable configuration systems, as distribution systems may be reconfigured following the clearing of a fault. This paper provides the problem formulation, solution methodology, modeling issues unique to distribution systems, and test results on multiple distribution circuits.

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