Please use this identifier to cite or link to this item: http://ds.knu.edu.ua/jspui/handle/123456789/4112
Title: Knowledge base formation for automation of dispatch control over power systems of the mining and metallurgical complex
Other Titles: Формування бази знань для автоматизації диспетчерського керування енергосистемами гірничо-металургійного комплексу
Authors: Morkun, Volodymyr
Моркун, Володимир Станіславович
Моркун, Владимир Станиславович
Kotov, Ihor
Котов, Ігор Анатолійович
Котов, Игорь Анатольевич
Keywords: emergency
dispatcher
ontology
decision support
thesaurus
power system
Issue Date: 2021
Publisher: National Technical University "Dnieper Polytechnic"
Citation: Morkun V. S. Knowledge base formation for automation of dispatch control over power systems of the mining and metallurgical complex / V. S. Morkun, I. A. Kotov // Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. – Dnipro, 2019. – N 4. – P. 103–109. – Ref.: p. 109.
Abstract: The research suggests methods for obtaining and building a knowledgebase of professional ontologies for online control over power system modes. The problem of calculating sensitivity of controlled parameters to controlling actions is solved. Calculation results for the emergency mode enable building impact functions and determining sensitivity matrix coefficients. The smart system knowledgebase is built to provide decision support for dispatch control over power system modes under standard and emergency conditions. There are obtained sets of mode data used as knowledgebase components enabling efficient assessment of the emergency mode rate and its dispatch correction. Besides calculation parameters of intensity of controlling actions, the knowl­ edgebase also comprises linguistic concepts, facts and rules of instructive dispatch materials. A knowledge base has been built on the basis of a subset of the linguistic corpus of concepts for the professional area of emergency response in the power system.
URI: https://doi.org/10.33271/nvngu/2021­4/103
http://ds.knu.edu.ua/jspui/handle/123456789/4112
ISSN: 2071-2227
E-ISSN 2223-2362
Appears in Collections:Кафедра автоматизації, комп'ютерних наук і технологій
Наукові статті

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