Monitoring, diagnosis, and power forecasting for photovoltaic fields: A review

Research output: Contribution to journalReview article

Authors

  • S. Daliento
  • A. Chouder
  • P. Guerriero
  • A. Massi Pavan
  • A. Mellit

External organisations

  • Universita degli Studi di Napoli Federico II
  • University of M'Sila
  • Department of Mathematics and Informatics
  • Jijel University
  • School of Electronics

Abstract

A wide literature review of recent advance on monitoring, diagnosis, and power forecasting for photovoltaic systems is presented in this paper. Research contributions are classified into the following five macroareas: (i) electrical methods, covering monitoring/diagnosis techniques based on the direct measurement of electrical parameters, carried out, respectively, at array level, single string level, and single panel level with special consideration to data transmission methods; (ii) data analysis based on artificial intelligence; (iii) power forecasting, intended as the ability to evaluate the producible power of solar systems, with emphasis on temporal horizons of specific applications; (iv) thermal analysis, mostly with reference to thermal images captured by means of unmanned aerial vehicles; (v) power converter reliability especially focused on residual lifetime estimation. The literature survey has been limited, with some exceptions, to papers published during the last five years to focus mainly on recent developments.

Details

Original languageEnglish
Article number1356851
JournalInternational Journal of Photoenergy
Volume2017
Publication statusPublished - 11 Jan 2017