Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Electronic Archive o...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

RESEARCH OF INFORMATION FLOWS IN THE CONTROL OF INTELLIGENT POWER SYSTEM REGIMES

Дослідження інформаційних потоків в управлінні режимами інтелектуальних енергосистем
Authors: Anatolii Voloshko; Tatyana Dzheria;

RESEARCH OF INFORMATION FLOWS IN THE CONTROL OF INTELLIGENT POWER SYSTEM REGIMES

Abstract

The purpose of this work is to solve the problem of optimizing the management of maintenance and repair equipment at large enterprises. In a unified management system, the operational collection, consolidation and transfer of indicators about the state of all numerous power equipment allows solving and sometimes avoiding many problems. It is about reducing the time for repair work (equipment downtime), offloading personnel, optimizing logistics chains, and reducing material costs. The general problems of creating intelligent energy systems from the point of view of information and telecommunication technologies have been studied. A way to process information flows in the monitoring and management of intelligent energy systems modes is proposed, which involves combining information and mathematical technologies and the use of international data standards. The approach to the development of a new information and technological infrastructure of intelligent energy systems is considered. After conducting the analysis, the optimal system is seen as a multi-level control system for intelligent electric power systems. The technology combines intelligent tools for situation analysis and software systems for mode modeling and control. The use of IT infrastructure allows to create a single information space that includes data and knowledge, as well as a set of mathematical models and methods for solving the problems of the electric power industry in the conditions of active adaptive management. In the conclusions, a detailed classification of the types of information about mode parameters is provided and the relationship between the quality of mode information and the application of various mathematical models is determined.

Keywords

intelligent power systems (IPS), керування, power transmission and distribution, dispatch control, інформаційно-технологічна інфраструктура, power system modes, signals, monitoring, information and technological infrastructure, Smart Grid, management, mathematical model, інтелектуальні електроенергетичні системи (ІЕС), information flows, інформаційні потоки

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities