Pattern-based Automatic Translation of Structured Power System Data to Functional Models for Decision Support Applications

Kai Heussen; Johannes Tilman Gabriel Weckesser; Daniel Kullmann

doi:10.1109/IWIES.2013.6698579

Pattern-based Automatic Translation of Structured Power System Data to Functional Models for Decision Support Applications

Kai Heussen, Johannes Tilman Gabriel Weckesser, Daniel Kullmann

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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. 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.

Original language	English
Title of host publication	Proceedings of IWIES 2013
Number of pages	6
Publisher	IEEE
Publication date	2013
DOIs	https://doi.org/10.1109/IWIES.2013.6698579
Publication status	Published - 2013
Event	2013 IEEE International Workshop on Intelligent Energy Systems - Austria Center Vienna, Vienna, Austria Duration: 14 Nov 2013 → 14 Nov 2013 https://ieeexplore.ieee.org/xpl/conhome/6684697/proceeding

Conference

Conference	2013 IEEE International Workshop on Intelligent Energy Systems
Location	Austria Center Vienna
Country/Territory	Austria
City	Vienna
Period	14/11/2013 → 14/11/2013
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6684697/proceeding

Keywords

Power system modeling
Knowledge-based methods
Functional modeling
Model translation
Decision support

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IWIES.2013.6698579

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title = "Pattern-based Automatic Translation of Structured Power System Data to Functional Models for Decision Support Applications",

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. 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.",

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year = "2013",

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note = "2013 IEEE International Workshop on Intelligent Energy Systems, IWIES 2013 ; Conference date: 14-11-2013 Through 14-11-2013",

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KW - Power system modeling

KW - Knowledge-based methods

KW - Functional modeling

KW - Model translation

KW - Decision support

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DO - 10.1109/IWIES.2013.6698579

M3 - Article in proceedings

BT - Proceedings of IWIES 2013

PB - IEEE

T2 - 2013 IEEE International Workshop on Intelligent Energy Systems

Y2 - 14 November 2013 through 14 November 2013

ER -

Pattern-based Automatic Translation of Structured Power System Data to Functional Models for Decision Support Applications

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Conference

Keywords

UN SDGs

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