Abstract

This letter suggests a method to manage the uncertainty of photovoltaic (PV) data by removing the periodic effect of the annual position of the sun in the sky. The least squares method is applied to determine the low-frequency (annual) periodic component which is predictable in the system operation. This method can be applied to estimate the probabilistic characteristics of PV generation at various locations on the earth with differing insolation due to changing solar position.

Original languageEnglish (US)
Article number6677516
Pages (from-to)351-352
Number of pages2
JournalIEEE Transactions on Sustainable Energy
Volume5
Issue number1
DOIs
StatePublished - Jan 2014

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Incident solar radiation
Sun
Earth (planet)
Uncertainty

Keywords

  • Least squares method
  • Photovoltaic (PV) generation
  • Probability density function (pdf)
  • Renewable energy
  • Uncertainty

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Preprocessing uncertain photovoltaic data. / Fan, Miao; Vittal, Vijay; Heydt, Gerald T.; Ayyanar, Raja.

In: IEEE Transactions on Sustainable Energy, Vol. 5, No. 1, 6677516, 01.2014, p. 351-352.

Research output: Contribution to journalArticle

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