Determining the number of redundant elements of the distribution network in compliance with the specified amount of information entropy

Описание

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

Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering 2019, APITECH 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1399/5/055030

Аннотация: A mathematical economic model for searching an optimal solution is proposed. In addition, a measure of information uncertainty is proposed to solve the problem the construction of a distribution network structure with the redundancy. In the model, there is an objective function for searching minimum costs and the equations for deteПоказать полностьюrmining an information entropy of operable and non-operable states of the distribution network. The equations are based on the approaches of Ralph Hartley and Claude Shannon for entropy determination. An important place in the mathematical model is the process of constructing of a constraint function to search an optimal solution. The right part of constraints is entropy, its value reflects requirements to provide the required reliability level of power supply of the consumer. The left part is used to determine the connection entropy between an energy source and the consumer. An example of determining the number of redundant elements is offered. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1399, Is. 5

Номера страниц: 55030

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Dulesov A.S. (Katanov Khakass State University, 92, Lenina ave., Abakan, 655017, Russian Federation)
  • Karandeev D.J. (Katanov Khakass State University, 92, Lenina ave., Abakan, 655017, Russian Federation)
  • Khrustalev V.I. (Katanov Khakass State University, 92, Lenina ave., Abakan, 655017, Russian Federation)
  • Dulesova N.V. (Khakas Technical Institute of Siberian Federal University, 15, Komarova ave., Abakan, 655017, Russian Federation)
  • Krasnova T.G. (Katanov Khakass State University, 92, Lenina ave., Abakan, 655017, Russian Federation)

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