A linear recursive bad data identification method with real-time application to power system state estimation

Journal Article · Sat Aug 01 04:00:00 UTC 1992 · IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/59.207357· OSTI ID:7102369

Zhang, B M; Wang, S Y; Xiang, N D ^[1]

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1. Dept. of Electrical Engineering, Tsinghua Univ., Beijing 100084 (CN)

A fast and efficient algorithm - Recursive Measurement Error Estimation Identification (RMEEI) method for bad data analysis is further developed in this paper. By using a set of linear recursive formulae, state variables, residuals and their variances are updated after the removal of a measurement from suspected data set to the remaining data set (or in the reverse direction). The real-time operation experience of the RMEEI method in EMS of the North East China power system control center are also given.

• OSTI ID: 7102369
• Journal Information: IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States) Vol. 7:3; ISSN 0885-8950; ISSN ITPSE
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
240100* -- Power Systems-- (1990-)
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ALGORITHMS
ASIA
CHINA
CONTROL SYSTEMS
DATA ANALYSIS
ERRORS
MATHEMATICAL LOGIC
POWER SYSTEMS
REAL TIME SYSTEMS
RECURSION RELATIONS