Reliability Theoretical Frequency Assessment of Generation Systems with Photovoltaic Solar Panels : материалы временных коллективов | Научно-инновационный портал СФУ

Reliability Theoretical Frequency Assessment of Generation Systems with Photovoltaic Solar Panels : материалы временных коллективов

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Ural Conference on Green Energy (UralCon); S Ural State Univ, Chelyabinsk, RUSSIA; S Ural State Univ, Chelyabinsk, RUSSIA

Год издания: 2018

Ключевые слова: reliability, solar, power, station, failure, electric, operation

Аннотация: The combined solar and diesel installations are applied in the self-contained systems of power supply. The necessary aspect in such systems' projecting and scheduling is the assessment of their reliability. However, a number of problems with a stochastic character of natural recourses appears during the reliability analysis of electric installations with renewable energy sources. The photovoltaic solar panels functioning in self-contained systems depend on solar radiation. A theoretical frequency multimatrix method is presented in this article allowing to consider the changes of solar radiation and modes of operations with system element failures. The topological research of the solar-diesel power installation allows one to create a matrix of logical relations between failures, operations and accidents, fixing what kind of failures corresponds to each mode of operation for each condition of solar radiation. The calculation of reliability of the self-contained solar and diesel power station is made by means of the offered theoretical frequency multimatrix method in a distant settlement of the Altai Republic.

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Издание

Журнал: 2018 INTERNATIONAL URAL CONFERENCE ON GREEN ENERGY (URALCON)

Номера страниц: 20-25

Место издания: NEW YORK

Издатель: IEEE

Персоны

  • Tremyasov Vladimir (Siberian Fed Univ, Krasnoyarsk, Russia)
  • Bobrov Aleksey (Siberian Fed Univ, Krasnoyarsk, Russia)
  • Krivenko Tatiana (Siberian Fed Univ, Krasnoyarsk, Russia)

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