Notice of Violation of IEEE Publication Principles:Kalman-filter algorithm and PMUs for state estimation of distribution networks

Notice of Violation of IEEE Publication Principles

"Kalman-Filter Algorithm and PMUs for State Estimation of Distribution Networks"
by Faridoon Shabaninia, Mahdi Amini, Mohammad Vaziri, Mahyar Zarghami, and Suresh Vadhva
in the Proceedings of the 15th IEEE International Conference on Information Reuse and Integration (IEEE IRI 2014), August 2014, pp.868-873

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles.

This paper duplicates content from the paper cited below. The original content was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

"State Estimation of Active Distribution Networks: Comparison Between WLS and Iterated Kalman-Filter Algorithm Integrating PMUs"
by Styliani Sarri, Mario Paolone, Rachid Cherkaoui, Alberto Borghetti, Fabio Napolitano, and Carlo Alberto Nucci
in the Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe 2012), October 2012, pp.1-8


Availability of data from Phasor Measurement Units (PMUs), characterized by their high accuracy to measure node voltage phasors, allows a simplification of the State Estimation (SE) problems. In this paper Iterated Kaiman Filter (IKF) algorithm, as a new method, has been used for SE of a test Active Distributed Network (ADN) integrating PMU measurements. In order to validate the results, Weighted Least Squares (WLS) method, as a common way for SE problems, is simulated. In this case study, IEEE 13-bus test system is used with considering one Distributed Generation (DG). Simulation results show the proper performance of the IKF method.