A novel Bad Data Processing algorithm for analog data in substation automation systems

In this paper, a Bad Data Processing (BDP) algorithm for analog data in a substation is suggested. Considering that every substation has a standardized hierarchy and the electric power flows in a fixed direction, rules for detection and correction of bad data are derived through logical analysis of error-symptoms relations. Conservative reasoning combined with modular approach is utilized, in this paper, to enhance the efficiency and reliability of data correction. The rule base used in this paper is constructed through logical analysis of possible errors and their symptoms that may occur. The suggested algorithm is proved to be useful in both convenience and accuracy by excessive application to a substation emulator realized in real-time digital power system simulator.