A fuzzy cognitive map for data integrity assessment in a IEC 61850 based substation

The abundance of data available under the smart grid paradigm makes it possible for the system operator to enhance the situational awareness across the power network. More accurate data logging and reporting, especially in the newly adopted object oriented based communication protocols such as IEC 61850, allows for more efficient analysis and interpretation of the state of the network. This paper explores one of such applications that arise from employment of the standard IEC 61850 in substations. It is proposed here that the integrity of the data available from across the substation can be verified using the quality and validity data available from different devices and control/protection functions in the substation. A fuzzy cognitive map is used here that derives relationships and associations between various functions within the substation and determines a level of confidence on the data available. Although this scheme is developed for a substation in this paper, it can be equally well applied to other applications beyond substations and across the distribution automation domain.