Voltage Magnitude State Estimation By ANNs with Reduction of PMUs

Authors

  • M. Gholami Author
  • G. B. Gharehpetian Author
  • B. Fahimi Author
  • M. J. Sanjari Author

DOI:

https://doi.org/10.24084/repqj09.277

Abstract

In this paper, the relationship between the number of installed PMUs and the accuracy of the monitoring system has been studied. In the best case, all buses are observable. In this paper, it is assumed that the economical saving or failure of PMUs can result in unobservable buses. In this case, Artificial Neural Network (ANN) has been used to estimate the voltage of unobservable buses. The proposed method has been applied to IEEE 14-Bus system. Based on single contingencies analysis, it is shown that in small scale networks, such as IEEE 14-Bus system, the ANN can estimate the unobservable buses with neglectable error.

Author Biographies

  • M. Gholami

    Electrical Engineering Department, Amirkabir University of Technology, Tehran. Iran

    Phone/Fax number: +0098 2164543504,

    E-mail: mostafagholami@aut.ac.ir

  • G. B. Gharehpetian

    Electrical Engineering Department, Amirkabir University of Technology, Tehran. Iran

    Phone/Fax number: +0098 2164543504,

    E-mail: grptian@aut.ac.ir 

  • B. Fahimi

    Electrical Engineering Department, University of Texas at Dallas

    E-mail: fahimi@uta.edu

  • M. J. Sanjari

    Electrical Engineering Department, Amirkabir University of Technology, Tehran. Iran

    Phone/Fax number: +0098 2164543504,

    E-mail: m_j_sanjari@aut.ac.ir

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Published

2024-01-17

Issue

Vol. 9 No. 1 (2011)

Section

Articles