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author:

Jin, Tao (Jin, Tao.) [1] | Shen, Xueyu (Shen, Xueyu.) [2]

Indexed by:

EI

Abstract:

To address the issue that the phasor measurement units (PMUs) of wide area measurement system (WAMS) are not sufficient for static state estimation in most existing power systems, this paper proposes a mixed power system weighted least squares (WLS) state estimation method integrating a wide-area measurement system and supervisory control and data acquisition (SCADA) technology. The hybrid calculation model is established by incorporating phasor measurements (including the node voltage phasors and branch current phasors) and the results of the traditional state estimator in a post-processing estimator. The performance assessment is discussed through setting up mathematical models of the distribution network. Based on PMU placement optimization and bias analysis, the effectiveness of the proposed method was proved to be accurate and reliable by simulations of different cases. Furthermore, emulating calculation shows this method greatly improves the accuracy and stability of the state estimation solution, compared with the traditional WLS state estimation. © 2018 by the authors.

Keyword:

Electric power system measurement Estimation Geodesy Least squares approximations Phase measurement Phasor measurement units SCADA systems State estimation Surveying

Community:

  • [ 1 ] [Jin, Tao]Department of Electrical Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Shen, Xueyu]Department of Electrical Engineering, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • [jin, tao]department of electrical engineering, fuzhou university, fuzhou; 350116, china

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Related Keywords:

Source :

Energies

Year: 2018

Issue: 2

Volume: 11

2 . 7 0 7

JCR@2018

3 . 0 0 0

JCR@2023

ESI HC Threshold:170

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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