Pattern-based automatic translation of structured power system data to functional models for decision support applications
Improved information and insight for decision support in operations and design are central promises of a smart grid. Well-structured information about the composition of power systems is increasingly becoming available in the domain, e.g. due to standard information models (e.g. CIM or IEC61850) or...
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creator | Heussen, Kai Weckesser, Johannes T. G. Kullmann, Daniel |
description | Improved information and insight for decision support in operations and design are central promises of a smart grid. Well-structured information about the composition of power systems is increasingly becoming available in the domain, e.g. due to standard information models (e.g. CIM or IEC61850) or otherwise structured databases. More measurements and data do not automatically improve decisions, but there is an opportunity to capitalize on this information for decision support. With suitable reasoning strategies data can be contextualized and decision-relevant events can be promoted and identified. This paper presents an approach to link available structured power system data directly to a functional representation suitable for diagnostic reasoning. The translation method is applied to test cases also illustrating decision support. |
doi_str_mv | 10.1109/IWIES.2013.6698579 |
format | Conference Proceeding |
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This paper presents an approach to link available structured power system data directly to a functional representation suitable for diagnostic reasoning. The translation method is applied to test cases also illustrating decision support.</description><subject>Cognition</subject><subject>Data models</subject><subject>decision support</subject><subject>functional modeling</subject><subject>Generators</subject><subject>knowledge-based methods</subject><subject>Load modeling</subject><subject>model translation</subject><subject>Object oriented modeling</subject><subject>Ontologies</subject><subject>power system modeling</subject><subject>Power systems</subject><isbn>1479911356</isbn><isbn>9781479911356</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkM1KxDAUheNCUMd5Ad3kBVpzk6ZtljKMWhhQUHE53OYHKm1TkhQZn97pOKtzFh8fnEPIHbAcgKmH5qvZvuecgcjLUtWyUhfkBopKKQAhyyuyjvGbMQZVJQtQ1-T3DVOyYcxajNZQnJMfMHWapoBj7I_Vj9Q7GlOYdZrDkZn8jw00HmKyAzWYkCZP3TzqhcWeDt7YPlLnAzVWd3ExxHmafEgUp6nv9Mkab8mlwz7a9TlX5PNp-7F5yXavz83mcZd1HFTKONYWSsk0Osd4wSvVCiMliLJCJ6EuWs1dLRzW2houhGpZvSyXXJfI21asyP2_t7PW7qfQDRgO-_M94g9wk19F</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Heussen, Kai</creator><creator>Weckesser, Johannes T. 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G.</creatorcontrib><creatorcontrib>Kullmann, Daniel</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Heussen, Kai</au><au>Weckesser, Johannes T. G.</au><au>Kullmann, Daniel</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Pattern-based automatic translation of structured power system data to functional models for decision support applications</atitle><btitle>2013 IEEE International Workshop on Inteligent Energy Systems (IWIES)</btitle><stitle>IWIES</stitle><date>2013-01-01</date><risdate>2013</risdate><spage>161</spage><epage>166</epage><pages>161-166</pages><eisbn>1479911356</eisbn><eisbn>9781479911356</eisbn><abstract>Improved information and insight for decision support in operations and design are central promises of a smart grid. Well-structured information about the composition of power systems is increasingly becoming available in the domain, e.g. due to standard information models (e.g. CIM or IEC61850) or otherwise structured databases. More measurements and data do not automatically improve decisions, but there is an opportunity to capitalize on this information for decision support. 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subjects | Cognition Data models decision support functional modeling Generators knowledge-based methods Load modeling model translation Object oriented modeling Ontologies power system modeling Power systems |
title | Pattern-based automatic translation of structured power system data to functional models for decision support applications |
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