ИСПОЛЬЗОВАНИЕ КОНТЕКСТНЫХ ДАННЫХ ПРИ УПРАВЛЕНИИ РАСПРЕДЕЛЕННОЙ СЕТЬЮ ЭЛЕКТРОПИТАНИЯ

I.V. Verbytskyi; A.G. Kyselova

doi:10.15407/techned2016.01.055

No. 1 (2016), Electric Power Systems and Installations

No. 1 (2016)

Electric Power Systems and Installations

APPLICATION OF CONTEXTUAL DATA FOR CONTROL OF DISTRIBUTED POWER GRID

Published 2016-01-29

https://doi.org/10.15407/techned2016.01.055

I.V. Verbytskyi ⁺⁻
A.G. Kyselova ⁺⁻

I.V. Verbytskyi

National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute, pr. Peremohy, 37, Kiyv, 03056, Ukraina

A.G. Kyselova

National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute, pr. Peremohy, 37, Kiyv, 03056, Ukraina

ARTICLE_8_PDF (Українська)

Keywords

context
distributed power grid
hierarchical control principle контекст
распределенная система электропитания
иерархический принцип управления

How to Cite

[1]

Вербицкий , Е. and Киселева, А. 2016. APPLICATION OF CONTEXTUAL DATA FOR CONTROL OF DISTRIBUTED POWER GRID. Tekhnichna Elektrodynamika. 1 (Jan. 2016), 055. DOI:https://doi.org/10.15407/techned2016.01.055.

Abstract

The features of the structure of distributed power grid to the power and data level are described. The necessity of application of heterogeneous data on external conditions, power equipment operating modes and the characteristic of the load for network management is shown. The expediency of hierarchical control principle based on logical rules is substantiated. The necessity of data pre-processing and formalization in form of context in order to reduce the volume of circulating and processed information is justified. Implementing the procedure of digital filtering, verification and data forecast allowed reducing the noise and inertia of the control system. The principles of formalization of context, which reduced the volume of data transmitted and processed were elaborated. The approach of the formation of the rules allows applying intellectual control algorithms for power system, improving the quality of management. References 8, table 1, figures 3.

https://doi.org/10.15407/techned2016.01.055

ARTICLE_8_PDF (Українська)

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