DocumentCode :
676520
Title :
Approach for linear state estimation considering zero-injected currents
Author :
Chen, Luo-nan ; Bi, T.S. ; Xue, A.C. ; Yang, Q.X.
Author_Institution :
State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
fYear :
2013
fDate :
9-11 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
With the increasing complexity of operating conditions, the operators of power system rely on the energy management system (EMS) more and more. The state estimation is the core of EMS. The invention of phasor measurement unit (PMU) provides new opportunities for state estimations. In China, all of the 500kV and above substations are equipped with PMU. The linear state estimation based on PMU measurements is possible. In this paper, the approach for linear state estimation based on PMU measurements is proposed. The detailed model of the linear state estimation is presented. To improve the accuracy, the zero-injected currents at connecting buses are considered as virtual measurements. The proposed linear state estimation is solved by the linear weighted least squares (LWLS). The IEEE 39 and IEEE 118bus testing systems are applied to test the proposed method. The simulating results show that the accuracy of the estimated states by the linear state estimation based on PMU is higher than the traditional nonlinear state estimations and the speed of computation is faster than the nonlinear estimation.
Keywords :
least squares approximations; phasor measurement; power system state estimation; substations; EMS; IEEE 118 bus testing system; IEEE 39 bus testing system; LWLS; PMU measurements; linear state estimation; linear weighted least squares; phasor measurement unit; virtual measurements; zero-injected currents; linear state estimation; linear weighted least squares; phasor measurement unit; zero-injected current;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Renewable Power Generation Conference (RPG 2013), 2nd IET
Conference_Location :
Beijing
Electronic_ISBN :
978-1-84919-758-8
Type :
conf
DOI :
10.1049/cp.2013.1731
Filename :
6718641
Link To Document :
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