4.7 Article

Disaggregating solar generation from feeder-level measurements

期刊

SUSTAINABLE ENERGY GRIDS & NETWORKS
卷 13, 期 -, 页码 112-121

出版社

ELSEVIER
DOI: 10.1016/j.segan.2017.11.001

关键词

Solar generation; Regression models; Load disaggregation; Distribution system

资金

  1. U.S. Department of Energy's Advanced Research Projects Agency-Energy (ARPA-E)
  2. US Department of Energy [DE-AC02-06-76SF00515, DE-AC02-05CH11231]

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Photovoltaic (PV) systems are increasing in distribution systems, but utilities lack visibility of the generation of this distributed PV. This paper presents a set of methods for disaggregating the photovoltaic (PV) generation downstream of a measurement device that measures net load using only readily available measurements. We propose two strategies in which we use measurements from the substation as well as a proxy solar irradiance measurement. Using these two measurement points, we first propose a multiple linear regression strategy. We estimate a relationship between the measured reactive power and the load active power consumption, which are then used in real-time disaggregation. Then, we expand this strategy to reconstruct the errors in the estimators, thus separating the solar and load signals from their aggregate. We show that it is possible to disaggregate the generation of a 7.5 megawatt photovoltaic site with a root-mean-squared error of approximate to 450 kilowatts. (C) 2017 Published by Elsevier Ltd.

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