The energy saving technology of a photovoltaic system’s control on the basis of the fuzzy selective neuronet

Описание

Тип публикации: статья из журнала

Год издания: 2016

Идентификатор DOI: 10.1007/978-3-319-41009-8_41

Ключевые слова: Fuzzy neural net, Neuro-evolutionary approach, photovoltaic system, random perturbations

Аннотация: This paper presents the energy saving technology of a photovoltaic system’s control. Based on the photovoltaic system’s state, the fuzzy selective neural net creates an effective control signal under random perturbations. The architecture of the selective neural net was evolved using a neuro-evolutionary approach. The validity and Показать полностьюadvantages of the proposed energy saving technol-ogy of a photovoltaic system’s control are demonstrated using numerical sim-ulations. The simulation results show that the proposed technology achieves real-time control speed and competitive performance, as compared to a classical control scheme with a PID controller.

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Издание

Журнал: Lecture Notes in Computer Science

Выпуск журнала: Т.9713, №

Номера страниц: 382-388

ISSN журнала: 03029743

Издатель: Springer-Verlag GmbH

Авторы

  • Engel E.A. (Katanov State University of Khakassia)
  • Kovalev I.V. (Siberian State Aerospace University)

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