TY - GEN
T1 - Optimal PMU placement for identification of multiple power line outages in smart grids
AU - Wu, Jie
AU - Xiong, Jinjun
AU - Shil, Prasenjit
AU - Shi, Yiyu
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/23
Y1 - 2014/9/23
N2 - Placing appropriate numbers of PMUs is critical to collect phase angle data for best identifying multiple line outages in wide-area transmission system, because of high deployment costs. This work focuses on exploring the global optimal strategy of PMU deployment for maximizing the average identification capability of multiple line outages. Inspired by Kullback-Leibler (KL) distance, this paper proposes the closed-form mathematical model to describe the average identification capability of multiple simultaneous line outages. Using IEEE 14-bus system, the optimal trade-off between the average identification capability and the number of PMUs is characterized. The proposed model successfully portrays the statistical identification performance of multiple line outages. The numerical result shows that the global optimal PMU placement algorithm has higher average identification capability when compared to the random PMU placement algorithm.
AB - Placing appropriate numbers of PMUs is critical to collect phase angle data for best identifying multiple line outages in wide-area transmission system, because of high deployment costs. This work focuses on exploring the global optimal strategy of PMU deployment for maximizing the average identification capability of multiple line outages. Inspired by Kullback-Leibler (KL) distance, this paper proposes the closed-form mathematical model to describe the average identification capability of multiple simultaneous line outages. Using IEEE 14-bus system, the optimal trade-off between the average identification capability and the number of PMUs is characterized. The proposed model successfully portrays the statistical identification performance of multiple line outages. The numerical result shows that the global optimal PMU placement algorithm has higher average identification capability when compared to the random PMU placement algorithm.
KW - average identification capability
KW - dissimilarity distance
KW - Multiple line outages
KW - number of PMUs
UR - https://www.scopus.com/pages/publications/84908480360
U2 - 10.1109/MWSCAS.2014.6908425
DO - 10.1109/MWSCAS.2014.6908425
M3 - Conference contribution
AN - SCOPUS:84908480360
T3 - Midwest Symposium on Circuits and Systems
SP - 354
EP - 357
BT - 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE 57th International Midwest Symposium on Circuits and Systems, MWSCAS 2014
Y2 - 3 August 2014 through 6 August 2014
ER -