Automated substation event analysis using IED data

TLDR: An attempt has been made to reduce large amount of data generated by the new generation relay IEDs using rough set theory and the logic has been developed to analyze the concise data available after use rough set technique and communicate the information so extracted to the operator, protection and maintenance departments.

Abstract: The installation of Intelligent Electric Devices (IEDs) in the substations has changed the face of protection engineering. These devices not only record a variety of analog and digital values but also communicate the data to the control centre. Thus, the same engineers who were struggling for data earlier with electromechanical relays now have sufficient data to analyze the events taking place in the system from time to time. The IEDs generate operational data, which helps to analyze what went wrong in the system and non-operational data, which indicates why things went wrong in the system. Thus, with each IED sending data at the control centre, a large volume of data gets accumulated which cannot be analyzed manually. Automated systems are required to assist engineers analyze the data received from IEDs and provide quality information to the various user groups. In this paper, an attempt has been made to reduce large amount of data generated by the new generation relay IEDs using rough set theory. The logic has been developed to analyze the concise data available after using rough set technique and communicate the information so extracted to the operator, protection and maintenance departments. These departments make use of the information in running the system in a more effective and efficient manner.