TY - GEN
T1 - A novel PQM placement method using Cp and Rp statistical indices for power transmission and distribution networks
AU - Kazemi, A.
AU - Mohamed, A.
AU - Shareef, H.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Coefficient of Multiple Determination (Rp)
KW - Cp Statistic
KW - Multivariable Regression (MVR)
KW - Power Quality Monitor (PQM) Placement
UR - http://www.scopus.com/inward/record.url?scp=84865028339&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865028339&partnerID=8YFLogxK
U2 - 10.1109/PEOCO.2012.6230843
DO - 10.1109/PEOCO.2012.6230843
M3 - Conference contribution
AN - SCOPUS:84865028339
SN - 9781467306614
T3 - 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings
SP - 102
EP - 107
BT - 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings
T2 - 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012
Y2 - 6 June 2012 through 7 June 2012
ER -