A novel PQM placement method using Cp and Rp statistical indices for power transmission and distribution networks

A. Kazemi, Azah Mohamed, H. Shareef

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings
Pages102-107
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Melaka
Duration: 6 Jun 20127 Jun 2012

Other

Other2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012
CityMelaka
Period6/6/127/6/12

Fingerprint

Electric power transmission networks
Power quality
Power transmission
Electric power distribution
Electric potential

Keywords

  • Coefficient of Multiple Determination (Rp)
  • Cp Statistic
  • Multivariable Regression (MVR)
  • Power Quality Monitor (PQM) Placement

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Kazemi, A., Mohamed, A., & Shareef, H. (2012). A novel PQM placement method using Cp and Rp statistical indices for power transmission and distribution networks. In 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings (pp. 102-107). [6230843] https://doi.org/10.1109/PEOCO.2012.6230843

A novel PQM placement method using Cp and Rp statistical indices for power transmission and distribution networks. / Kazemi, A.; Mohamed, Azah; Shareef, H.

2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings. 2012. p. 102-107 6230843.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kazemi, A, Mohamed, A & Shareef, H 2012, A novel PQM placement method using Cp and Rp statistical indices for power transmission and distribution networks. in 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings., 6230843, pp. 102-107, 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012, Melaka, 6/6/12. https://doi.org/10.1109/PEOCO.2012.6230843
Kazemi A, Mohamed A, Shareef H. A novel PQM placement method using Cp and Rp statistical indices for power transmission and distribution networks. In 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings. 2012. p. 102-107. 6230843 https://doi.org/10.1109/PEOCO.2012.6230843
Kazemi, A. ; Mohamed, Azah ; Shareef, H. / A novel PQM placement method using Cp and Rp statistical indices for power transmission and distribution networks. 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings. 2012. pp. 102-107
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