Title :
Kalman-filter algorithm and PMUs for state estimation of distribution networks
Author :
Shabaninia, F. ; Vaziri, M. ; Amini, M. ; Zarghami, M. ; Vadhava, S.
Author_Institution :
Shiraz Univ., Shiraz, Iran
Abstract :
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.
Keywords :
Kalman filters; distributed power generation; iterative methods; least mean squares methods; phasor measurement; power system state estimation; ADN; IEEE 13-bus test system; IKF method; PMU measurement integration; SE problems; WLS method; active distributed network; distributed generation; iterated Kalman filter; node voltage phasor measurement; phasor measurement unit; state estimation; weighted least squares; Covariance matrices; Kalman filters; Measurement uncertainty; Phasor measurement units; Power measurement; State estimation; Voltage measurement; Active Distribution Network; Iterated Kalman Filter; State Estimation; Weighted Least Square;
Conference_Titel :
Information Reuse and Integration (IRI), 2014 IEEE 15th International Conference on
DOI :
10.1109/IRI.2014.7051983
