Optimisation of secondary testing with cloud-based fleet analytics
Year: 2017
Type: article
Abstract: In this study novel cloud-based fleet analytics was utilised for advanced asset management. The target was to optimise the maintenance and testing procedures of the secondary system in primary distribution substations. In the case study, a series of 3007 different fault cases were automatically analysed in the cloud environment, gathered from 51 substations from a period of 18 months, containing both supervisory control and data acquisition events and disturbance records. The result of the analysis was that 68% of the required secondary testing was actually tested already during the normal operation of the network, leaving only 32% that still need dedicated manual testing.
Institution: ABB (Finland)
Language: English
Topic: Smart Grid and Power Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2768675914
