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.
Журнал: Lecture Notes in Computer Science
Выпуск журнала: Т. 9713
Номера страниц: 382-388
ISSN журнала: 03029743
Издатель: Springer-Verlag GmbH