Application of rough sets in power system control center data mining

During the operation of a power system, the system operator is supplied with many data. These data come from measurements into the system or from computational processes. The size of the current database in the power control center has increased so much in the last years due to the use of telecommunication process. The system operator needs to take a decision about an operation in the system (switching, changing taps and voltage levels, and so on), to know the current state of the system and some forecasted position, such as load forecasting, maintenance schedule, and so on. This paper presents an approach to reduce the size of database system, keeping only the essential information to the process. This approach is based on rough set theory.