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author:

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

Indexed by:

EI Scopus SCIE

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.

Keyword:

mixed algorithm power system state estimation weighted least squares wide-area measurement system

Community:

  • [ 1 ] [Jin, Tao]Fuzhou Univ, Dept Elect Engn, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Shen, Xueyu]Fuzhou Univ, Dept Elect Engn, Fuzhou 350116, Fujian, Peoples R China

Reprint 's Address:

  • 金涛

    [Jin, Tao]Fuzhou Univ, Dept Elect Engn, Fuzhou 350116, Fujian, Peoples R China

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Source :

ENERGIES

ISSN: 1996-1073

Year: 2018

Issue: 2

Volume: 11

2 . 7 0 7

JCR@2018

3 . 0 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:170

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 9

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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