Parameter Estimation with Interacting Bad Data in State Estimation

Autor: Shinta Fukui, Chun-Ling Yang
Rok vydání: 1997
Předmět:
Zdroj: IFAC Proceedings Volumes. 30:399-404
ISSN: 1474-6670
DOI: 10.1016/s1474-6670(17)46439-1
Popis: This paper proposes a new parameter error identification and estimation method with taking into account interacting bad data. The problem is solved in two steps. First, it uses an adaptive sensitivity approach to pick out the suspicious branches, and detects the bad data by replacing the impedance with power flow variables for those branches. Second, it identifies the parameter errors and estimates the correct network parameters by using the estimated power flows of the suspicious branches. The performance of the method is evaluated by using IEEE-118 bus system and a 250 bus real system.
Databáze: OpenAIRE