A Sampling Time Analysis of Smart Meter Measurement Data for Photovoltaic Generation

Konferenz: NEIS 2017 - Conference on Sustainable Energy Supply and Energy Storage Systems
21.09.2017 - 22.09.2017 in Hamburg, Deutschland

Tagungsband: NEIS 2017

Seiten: 5Sprache: EnglischTyp: PDF

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Resch, Simon; Meyer, Marcel; Luther, Matthias (Institute of Electrical Energy Systems, Friedrich Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany)
Schmidt, Rainer (Bavarian Center for Applied Energy Research (ZAE Bayern), Erlangen, Germany)

In order to support the integration of distributed renewable energy systems, a digitalisation process in the low voltage grid is in progress including the propagation of digital measurement equipment. Depending on the further processing of the measured data an adequate level of measurement accuracy is required. This paper focuses on the analysis of the influence of different sampling times on the data measurement quality of photovoltaic power systems. For comparison the measurement accuracy using active power measurement data at different sampling times between 15 seconds and 15 minutes is evaluated in a North Bavarian distribution system. Additionally the influence of different weather conditions, as well as seasonal differences are evaluated.