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Bad data processing in power system state estimation by direct data deletion and hypothesis tests

Journal Article · · IEEE Trans. Power Syst.; (United States)
This paper proposes a multiple bad data processing procedure for least-squares estimation of power system static state. The procedure is based on residual analysis by iterative deletion of suspected data and by hypothesis test validation of the deleted good data. Comparison is made in algebraic, algorithmic and computational aspects with a recently proposed HTI method. The effectiveness of the proposed bad data processing procedure is demonstrated via several numerical examples simulated on the IEEE 30-bus system.
Research Organization:
Shanghai Jiao Tong Univ., Shanghai
OSTI ID:
6518064
Journal Information:
IEEE Trans. Power Syst.; (United States), Journal Name: IEEE Trans. Power Syst.; (United States) Vol. PWRS-2:2; ISSN ITPSE
Country of Publication:
United States
Language:
English