Quality Assessment of Smart Grid Data

Abstract

Enormous amount of data gets generated in the Smart Grids (SGs) due to the large number of measuring devices, higher measurement rates and various types of sensors. Smart grid data contains important and critical information about the grid. Data driven applications are being developed for better planning, monitoring and operation of SGs. The outcome of data analytics heavily depends on the quality of SG data. However, not much work has been reported on the quality assessment of SG data. This paper addresses the objective assessment of SG data quality. Various dimensions of SG data quality are identified in this paper. Mathematical formulations are proposed to quantify the SG data quality. Proposed data quality metrics have been applied on the SCADA and PMU measurements collected from the Southern Regional Grid of India to demonstrate their effectiveness.