TY - GEN
T1 - Optimal selected phasor measurement units for identifying multiple line outages in smart grid
AU - Wu, Jie
AU - Xiong, Jinjun
AU - Shil, Prasenjit
AU - Shi, Yiyu
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/23
Y1 - 2015/6/23
N2 - Thanks to the advent of clock synchronization via the global positioning system (GPS), phasor measurement units (PMUs) collecting both the magnitude and phase angle with higher precision have implications for monitoring performance across the wide area of smart grids. Owing to high PMUs installation costs, developing optimal strategy of PMUs placement is important to monitor the transmission system status in the wide area. To characterize the performance of line outage identification, this paper firstly proposes the statistical model to describe the average identification capability of multiple line outages. Using this model, we develop a global optimal PMUs placement strategy to maximize the average identification capability under the budget of PMUs. Furthermore, a greedy heuristic strategy is developed to bypass the combinatorial search to achieve a sub-optimal solution at a reduced complexity. The proposed methods are used to benchmark the optimal PMU placement solutions for the IEEE 14-and 57-bus systems. The experimental study demonstrates that the proposed techniques successfully select optimal PMU locations, targeting on maximum the average identification capability. The result shows that the proposed PMUs placement strategies improve about 10% location identification performance of multiple line outages when compared to random PMUs placement method.
AB - Thanks to the advent of clock synchronization via the global positioning system (GPS), phasor measurement units (PMUs) collecting both the magnitude and phase angle with higher precision have implications for monitoring performance across the wide area of smart grids. Owing to high PMUs installation costs, developing optimal strategy of PMUs placement is important to monitor the transmission system status in the wide area. To characterize the performance of line outage identification, this paper firstly proposes the statistical model to describe the average identification capability of multiple line outages. Using this model, we develop a global optimal PMUs placement strategy to maximize the average identification capability under the budget of PMUs. Furthermore, a greedy heuristic strategy is developed to bypass the combinatorial search to achieve a sub-optimal solution at a reduced complexity. The proposed methods are used to benchmark the optimal PMU placement solutions for the IEEE 14-and 57-bus systems. The experimental study demonstrates that the proposed techniques successfully select optimal PMU locations, targeting on maximum the average identification capability. The result shows that the proposed PMUs placement strategies improve about 10% location identification performance of multiple line outages when compared to random PMUs placement method.
UR - https://www.scopus.com/pages/publications/84939190237
U2 - 10.1109/ISGT.2015.7131850
DO - 10.1109/ISGT.2015.7131850
M3 - Conference contribution
AN - SCOPUS:84939190237
T3 - 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015
BT - 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015
Y2 - 18 February 2015 through 20 February 2015
ER -