Title :
Maximum exponential absolute value approach for robust state estimation
Author :
Yanbo Chen ; Feng Liu ; Guangyu He ; Shengwei Mei ; Yanlan Fu
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
fDate :
Oct. 30 2012-Nov. 2 2012
Abstract :
This paper proposes a maximum exponential absolute value (MEAV) approach for robust state estimation of power system. We firstly formulate the robust state estimation issue as a maximization problem with an exponential absolute value objective function. Then we give the equivalent model of MEAV and the corresponding solution algorithm based on primal-dual interior point method. Simulation results demonstrate that the proposed MEAV estimator is highly robust to large-scale system with gross errors in measurements. Moreover, the proposed algorithm has also shows good numerical stability and high efficiency in various trials.
Keywords :
numerical stability; optimisation; power systems; MEA estimator; gross errors; large-scale system; maximization problem; maximum exponential absolute value approach; numerical stability; power system; primal-dual interior point method; robust state estimation; solution algorithm; Erbium; Helium; Power measurement; Power systems; Bad data identification; maximum exponential absolute value; robust state estimation;
Conference_Titel :
Power System Technology (POWERCON), 2012 IEEE International Conference on
Conference_Location :
Auckland
Print_ISBN :
978-1-4673-2868-5
DOI :
10.1109/PowerCon.2012.6401317