Cluster Analysis Based Fault Identification Data Mining Models for 3 Phase Power Systems

The main objective of this research work was to develop a Cluster Analysis based fault identification model for the power system. Cluster Analysis based Data Mining Techniques model has been implemented to locate the 3-phase transmission lines fault in IEEE 30 bus power system. Power World version 18 software was used to simulate the IEEE 30 bus power system and the 3-phase transmission lines fault. The bus voltages at fault were collected and import to the Statistical Package for the Social Sciences (SPSS) for determining the bus at fault. Through Cluster Analysis using Squared Euclidean Distance method, fault has been identified at each bus. This meant that the application of Data Mining Techniques yields a huge potential in solving complex problems related to power system, it not only yield an accurate result but also fast computation. The proposed innovative, successful model was able to locate the fault at each bus by bus nominal voltage comparison method.