A Bad Data Processing Algorithm for a Substation Automation System

This paper addresses a novel data error detection method in a substation. Unlike conventional methods, the proposed algorithm uses logical reasoning taking general structure of a substation into consideration. A substation model is divided into several modules according to the voltage level and connection status. For the analog data correction, the conservative reasoning is adopted, which means that a data value is not evaluated to be "true" unless every evidence is proved. For digital data, a measure "falseness" is suggested, by which a data can be evaluated to be false or not. Simulations on a standard substation of KEPCO demonstrate the effectiveness of the proposed algorithm.