Sector Name:Power Delivery & Utilization - Distribution & Utilization
Document Type:Technical Results
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In the electric power industry, data from multiple sources must be synthesized to assess asset conditions, make operational decisions in crisis situations, and perform a variety of other business evaluations. This report examines the challenges to automating the synthesis process and suggests potential research paths to address them. Three examples illustrate the application of data synthesis: a basic application of data synthesis to the determination of the root cause of a circuit breaker failure, an automated data synthesis example involving issues with remote line switches, and a multidimensional asset assessment example involving utility restoration efforts after a significant weather event.
Electric utilities are awash in data from a multitude of sources including substation data, enterprise data, and data from external sources. Bridging the existing data sources at electric utilities will benefit the utility by creating a more robust dataset useful in a wide variety of ways across business areas. Synthesis of utility data is basic to the assessment of assets and business processes. However, developing a complete picture of the operational history, specifications, and environmental exposure of an asset is not trivial. Further research is needed to develop algorithms to adequately interpret the integrated data as well as methods to display assessments of large quantities of assets. The technological tools needed to connect the various data sources do exist, but not all are designed to work seamlessly within the enterprise and there is a definite need for demonstration projects to more effectively identify persisting problems and suggest solutions to them.
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