Big data analytics in electricity distribution systems

Many problems in power distribution systems affecting today's technological equipment are often generated locally within a facility from any number of situations, such as local construction, heavy loads, faulty distribution components, and even typical background electrical noise. Penetration of advanced sensor systems such as advanced metering infrastructure (AMI), high-frequency overhead and underground current and voltage sensors have been increasing significantly in power distribution systems over the past few years. To manage the massive amounts of data generated from smart meters and other components of the grid, utility companies need a solution models such as e.g. Apache Hadoop ecosystem that operates in a distributed manner rather than using the centralized computing model. The paper aims to discuss a solution for easily discovering of problems with power quality that have local origin which collects data from AMI and implements distributed computing across clusters of computers using simple programming models.