Accurate Power Prediction of Spatially Distributed PV Systems using Localized Irradiance Measurements

Murali Baggu, Peter Gotseff, David Narang, Kevin. Carroll, James Cale

Research output: Contribution to conferencePaperpeer-review

12 Scopus Citations

Abstract

In this paper, a method for estimating power injected into an electrical distribution system from spatially distributed residential PV systems using data from ground-based weather stations is described. This method was developed as part of the High Penetration PV Deployment Project at the Arizona Public Service (APS). Verification of this predictive method is also described in this paper. Finally, correlation statistics and power production ramp rates are calculated for irradiance based on measured power within the APS study area using two different sets of weather station measurements. The method has potential applications to real-time or forecasted power estimation on distribution circuits in addition to the development of broader guidelines on the optimal number and location of irradiance sensors for power estimation in distribution circuits with high penetrations of PV.

Original languageAmerican English
Number of pages5
DOIs
StatePublished - 2014
Event2014 IEEE PES General Meeting - National Harbor, Maryland
Duration: 27 Jul 201431 Jul 2014

Conference

Conference2014 IEEE PES General Meeting
CityNational Harbor, Maryland
Period27/07/1431/07/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

NREL Publication Number

  • NREL/CP-5D00-60929

Keywords

  • AMI measurements
  • irradiance measurements
  • PV power estimation
  • PV variability
  • weather data

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