A Method for Identification of Nonmeasurable Parameters of a Distribution Electric Grid in Systems of Automation of Control and Accounting of Electric Power


Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

This paper considers the lower level of a power system—a distributing electrical network (DEN) with a voltage of 0.4 kV that produces suppliable electricity as a marketable product. The creation and introduction of modem automated systems of control and accounting of electricity (ASCAE) raises an important problem of monitoring of nonnormative losses of electricity in the DEN and identification its unmeasured (uncontrollable) electric parameters in the presence of distributing factors, such as unsanctioned selection of electricity and leakage currents in the network. The application for this purpose of existing methods and algorithms in real time presents certain difficulties because of the stochastic character of individual DEN parameters, for example, the active resistances of interpersonal sections that changes depending on external factors (temperature, humidity, etc.). The paper presents a new method of identifying unmeasured currents flowing into the interpersonal sections of a DEN, which takes into account the effect of specific disturbing factors and does not require information concerning these resistances. The method can be used to create special software subsystems of an ASCAE intended for identification of common and nonnormative electricity losses and also to localize the coordinates of unsanctioned selection of electricity and leakage currents in the network.

Sobre autores

T. Omorov

Institute of Physical & Technical Problems and Materials Science of the National Academy of Sciences of the Kyrgyz Republic

Autor responsável pela correspondência
Email: journal-elektrotechnika@mail.ru
Киргизия, Bishkek

B. Takyrbashev

OAO Severelektro

Email: journal-elektrotechnika@mail.ru
Киргизия, Bishkek

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML

Declaração de direitos autorais © Allerton Press, Inc., 2018