Intelligent Reflectometer for Diagnostics of Air Transmission Lines

  • Aleksandr N. ShilinEmail author
  • Aleksey A. Shilin
  • Nadezhda S. Kuznetsova
  • Danila N. Avdeyuk
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 174)


Problem statement: At a present time, in many countries of the world work is underway to create intelligent electric grids (Smart Grid). Intelligent networks are a complex of technical means that automatically detect the weakest and most dangerous parts of the network, and then change the characteristics and the network design in order to prevent an accident and reduce losses. In addition, the intelligent network should have self-diagnostic and self-repair functions and include sensory, communication and control technologies in order to increase the efficiency of transmission and distribution of energy. Thus, the intelligent network is a self-controlled energy system with minimal human participation. The main technical means are digital control systems that carry out control, management and solution of artificial intelligence tasks. The main elements of electrical networks are switching systems, which must disconnect lines with emergency or pre-emergency modes and connect consumers to backup lines. The main problem is the decision making in switching lines is the reliability of information about the modes. For this purpose, devices are used to determine the type and location of the accident.


Reflectometer Electromechanical devices Introduction Automatically SEMS 


  1. 1.
    Kaganov, Z.G.: Electric Circuits with Distributed Parameters and Chain Diagrams, 248 p. Energoatomizdat, Moscow (1990)Google Scholar
  2. 2.
    Bessonov, A.A.: Theoretical Foundations of Electrical Engineering: Electric Chains, 528 p. High School, Moscow (1978)Google Scholar
  3. 3.
    Shilin, A.N., Shilin, A.A., Artyushenko, N.S.: Calculation of errors of OTDRs for monitoring transmission lines. Control Diagn. (9), 52–59 (2015)Google Scholar
  4. 4.
    Shilin, A.N., Shilin, A.A., Artyushenko, N.S.: Analysis of signal waveform distortion during local monitoring of power lines. Control Diagn. (7), 44–49 (2017)Google Scholar
  5. 5.
    Characteristic parameters of a long line [Electronic resource]. Radio. Access mode: Date of circulation: 04/06/2014
  6. 6.
    Margolin, N.F.: Resistance of Overhead Transmission Lines. Mosoblpoligraf, Moscow (1937)Google Scholar
  7. 7.
    Pospelov, G.E., Ershevich, V.V.: Influence of the temperature of wires on the losses of electric power in active resistances of wires of overhead transmission lines. Electricity (10), 81–83 (1973)Google Scholar
  8. 8.
    Gerasimenko, A.A., Kinev, E.S., Chupak, T.M.: Electric Power Systems and Networks: A Summary of Lectures, 279 p. IPK SFU, Krasnoyarsk (2008)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Aleksandr N. Shilin
    • 1
    Email author
  • Aleksey A. Shilin
    • 1
  • Nadezhda S. Kuznetsova
    • 1
  • Danila N. Avdeyuk
    • 1
  1. 1.Volgograd State Technical UniversityVolgogradRussia

Personalised recommendations