Knowledge discovery in database from substation for decision support

Intelligent electronic devices (IEDs) installed at the bay level in the substation are capable of providing certain control functions to the process level as well as store the useful information regarding the events occurring there. The amount of operational data collected by IEDs is generally beyond immediate requirements and far more than the human capability to analyse and interpret the information. The information stored needs to be fetched beforehand and presented to the users who can make best use of it for several other applications like control & protection, maintenance, planning and expansion of the power system. There is a need to reduce the database presented to the operator to analyse the particular fault situation and take decisions. Thus, there is need of the knowledge discovery system to extract important facts from such information or database so as to optimize the system for more efficient operation. The technique of knowledge extraction enhances the functionality of substation automation. In this paper an attempt has been made to extract useful information from the database collected from a 132/11kv distribution network and provide a decision support tool to enhance substation automation (SA) functionality of the system.