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Quality Assurance/Quality Control Engine for Power Outage Mitigation

The Challenge of Event Correlation for a Smart Grid Architecture Amidst Data Quality Issues
Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1129)

Abstract

Energy is a key driver of economic growth. A key thematic for distribution utilities has centered upon how to better capitalize upon existing available amounts of energy within an electrical grid. Pragmatic opportunities reside within the distribution system of the grid. By means of examining and validating assumed/purported key nodes as well as properly contextualizing actual key nodes for when expeditious fault location is needed, it is possible to enhance power outage mitigation as well as facilitate more expeditious recovery and restoration of energy. We introduce a Data Visualization Analytics System (DVAS), which leverages a Quality Assurance/Quality Control (QA/QC) Engine to assist with correct identification of key nodes that have high impact on distribution utility performance indices, thereby directly affecting resiliency compliance decision-making within a Smart Grid and reporting to regulatory agencies.

Keywords

Energy efficiency Power loss optimization Cause code analysis Fault location Outage mitigation Data visualization Resiliency compliance Event correlation Smart grid architecture Data quality 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Vit Tall Energy Unit & IE2SPOMTFSan DiegoUSA

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