Skip to main content
Contribution to Book
A Novel PQM Placement Method Using Cp and Rp Statistical Indices for Power Transmissionand Distribution Networks
PEOCO 2012 (2012)
  • asadollah kazemi
  • Azah Mohamed
  • Hussain Shareef
Abstract

This paper presents a novel method to placement of power quality monitors (PQMs) by using the multivariable regression (MVR) model, the Cp and Rp statistical indices. In this method initially, fault data in each bus is collected and then the correlation coefficient (CC) which show the relationship between buses during system disturbances are calculated to identify two or three buses with the highest CC values. These buses are considered as the most sensitive buses in the system. The identified bus voltages are then considered as independent variables in the developed MVR model to estimate the other bus voltages. After selecting two or three buses that have maximum and minimum frequency of the calculated CC, Cp and Rp, the appropriate number and placement of PQMs is then determined based on the lowest value of the Cp and a suitable value of the Rp. To validate the proposed PQM placement method, the IEEE 30 bus test system and the 69 bus test system are used.

Keywords
  • Power Quality Monitor (PQM) Placement,
  • Multivariable Regression (MVR),
  • Cp Statistic,
  • Coefficient of Multiple Determination (Rp).
Disciplines
Publication Date
Spring June 6, 2012
Publisher
IEEE
Publisher Statement
You can download the paper from IEEE, ...
Citation Information
asadollah kazemi, Azah Mohamed and Hussain Shareef. "A Novel PQM Placement Method Using Cp and Rp Statistical Indices for Power Transmissionand Distribution Networks" Melaka - MalaysiaPEOCO 2012 (2012)
Available at: http://works.bepress.com/asadollah_kazemi/11/