Abstract

The application of photovoltaic system on the ship may reduce the operational cost and pollution caused by fossil fuel. In order to optimize the efficiency of the PV system, an appropriate maximum power point tracking (MPPT) must be implemented on the system. The MPPT must have fast response to overcome the rapid changes of solar irradiance due to ship movement or natural occurrence. In this paper, a combination of artificial neural network based MPPT and KY converter is proposed. The proposed method has been validated with a computer based simulation. The results show that the proposed method can optimize the PV system performance with a fast response to the change of sun irradiance.

Original languageEnglish
Title of host publicationICAMIMIA 2015 - International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, Proceeding - In conjunction with Industrial Mechatronics and Automation Exhibition, IMAE
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages117-120
Number of pages4
ISBN (Electronic)9781467373463
DOIs
Publication statusPublished - 8 Jul 2016
Event2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, ICAMIMIA 2015 - Surabaya, Indonesia
Duration: 15 Oct 201516 Oct 2015

Publication series

NameICAMIMIA 2015 - International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, Proceeding - In conjunction with Industrial Mechatronics and Automation Exhibition, IMAE

Conference

Conference2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, ICAMIMIA 2015
Country/TerritoryIndonesia
CitySurabaya
Period15/10/1516/10/15

Keywords

  • KY converter
  • artificial neural network (ANN)
  • maximum power point tracking (MPPT)
  • photovoltaic (PV)

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