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Quality Assessment of Smart Grid Data

Radhakrishnan, A and Das, S (2018) Quality Assessment of Smart Grid Data. In: 20th National Power Systems Conference, NPSC 2018, 14 - 16 December 2018, Tiruchirappalli.

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Official URL: https://doi.org/10.1109/NPSC.2018.8771733


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.

Item Type: Conference Paper
Publication: 2018 20th National Power Systems Conference, NPSC 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords: Big data; Data Analytics; Data reduction; Electric power transmission networks, Data quality; Data-driven applications; Mathematical formulation; Objective assessment; PMU measurements; power system; Quality assessment; Smart grid, Smart power grids
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 02 Aug 2022 11:30
Last Modified: 02 Aug 2022 11:30
URI: https://eprints.iisc.ac.in/id/eprint/75109

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