Outage monitoring and management in Overhead and Cable networks with various types of architecture

Loading...
Thumbnail Image

Paper number

0467

Working Group Number

Conference name

CIRED 2018 Ljubljana Workshop

Conference date

7 - 8 June 2018

Conference location

Ljubljana, Slovenia

Peer-reviewed

Yes

Short title

Convener

Authors

Kucheryavenkov, Andrey, Trinity Engineering LLC, The Russian Federation
Kartasheva, Ekaterina, Trinity Engineering LLC, The Russian Federation
Kondrashenko, Elena, Trinity Engineering LLC, The Russian Federation

Abstract

An aggregate data processing from the intelligent monitoring system sensors, which is based on heuristic algorithms, brings an opportunity to manage problems before accident occurs. Thus the modern distribution network monitoring and management systems should be adaptive and susceptible to a simple modernization when new devices are being integrated into an existing grid. The most important part of the hardware-software system of the distribution network monitoring is the possession of the instruments for running the occurring processes analysis and the ability of supplying the dispatching personnel with information. The integrated systems of overhead lines and underground power cables outage monitoring and management provide a simple solution in terms of the power system reliability enhancement and remove the problem of false operating and functional losses of separate diagnostic devices. Implementing modern hardware-software systems that are using complex data processing algorithms, deriving data from various diagnostic devices, is a vital component of an effective decision-making. The implementation of the outage monitoring and management systems provides not only a continuous control of grid line conditions but also the employment of predictive diagnostics and the enhancement of the power system reliability.

Table of content

Keywords

Publisher

AIM

Date

2018-06-07

Permanent link to this record

https://www.cired-repository.org/handle/20.500.12455/1137
http://dx.doi.org/10.34890/181

ISSN

2032-9628

ISBN

978-2-9602415-1-8