Title :
Realistic simulation tests for LOUD dynamic smart grid system change detection
Author :
Liang Zhao ; Qian He ; Blum, Rick S.
Author_Institution :
ECE Dept., Lehigh Univ., Bethlehem, PA, USA
Abstract :
Previous research has justified the use of a state space model for describing smart grid system dynamics. A fault or intrusion in the grid can be found by recognizing a change in system matrices of the state space model. A new hypothesis testing-based approach using the Locally Optimum Unknown Direction (LOUD) test has been proposed to detect possible changes. Previous work has shown that the LOUD test makes reliable change detection decisions with less observed data than the well accepted Generalized Likelihood Ratio (GLR) test. Here we employ realistic simulations of the IEEE 14-bus system to more fully evaluate the LOUD test. We investigate the fitness of the linear state space model. We compare the performance of the LOUD test with the optimum ideal likelihood ratio test. We also look at the influence of the sampling rate on the detection performance.
Keywords :
IEEE standards; matrix algebra; power system faults; power system simulation; smart power grids; GLR; IEEE 14-bus system; LOUD dynamic smart grid system change detection; generalized likelihood ratio test; grid fault; grid intrusion; hypothesis testing-based approach; linear state space model; locally optimum unknown direction; matrices system; realistic simulation testing; Generators; Mathematical model; Rotors; Smart grids; Testing; Transmission line matrix methods; Vectors; Change detection; hypothesis testing; state space model;
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2012 IEEE Third International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4673-0910-3
Electronic_ISBN :
978-1-4673-0909-7
DOI :
10.1109/SmartGridComm.2012.6485998