Quantifying residential PV feed-in power in low voltage grids based on satellite-derived irradiance data with application to power flow calculations

Holger Ruf, Marion Marion Schroedter-Homscheidt, Gerd Heilscher, Hans-Georg Beyer

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
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Abstract

A scheme using satellite-derived irradiance measurements to model the feed-in power of residential photovoltaic (PV) systems in a low voltage distribution grid is described. It is validated against smart meter
measurements from a test site with 12 residential PV systems in the city of Ulm, Germany, during May
2013 to December 2014. The PV feed-in power is simulated in a 15-min time resolution based on irradiance data derived from Meteosat Second Generation satellite images by the physically based retrieval
scheme Heliosat-4. The PV simulation is based on the nominal power and location of the PV systems
as provided by the distribution system operator. Orientation angles are taken from high resolution aerial
laser-scan data. The overall average mean error of PV feed-in power is 4.6% and the average root-meansquared error is 12.3% for the individual systems. Relative values are given with respect to the total
installed power of 152.3 kWp. Sensitivity studies discuss the need for knowing the exact orientation
angles of each individual PV system or the usefulness of a single ground-based measurement as alternative to satellite observations. As an application of the scheme, the modelling of the effect of the power
flow from the residential PV on the load flow of the low voltage distribution grid transformer is described
and illustrates the advantage of the discussed approach for distribution system operators.
2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license
Original languageEnglish
Pages (from-to)692-702
Number of pages11
JournalSolar Energy
Volume 135
DOIs
Publication statusPublished - 2016

Keywords

  • Heliosat method
  • Distribution network
  • Residential photovoltaic
  • Low voltage grid
  • CAMS radiation service
  • Earth observation

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