Analysing Grid-Level Effects of Photovoltaic Self-Consumption Using a Stochastic Bottom-up Model of Prosumer Systems
Author:
Karalus Steffen1ORCID, Köpfer Benedikt1, Guthke Philipp2, Killinger Sven13, Lorenz Elke1
Affiliation:
1. Fraunhofer Institute for Solar Energy Systems ISE, Heidenhofstr. 2, 79110 Freiburg, Germany 2. TransnetBW GmbH, Osloer Str. 15–17, 70173 Stuttgart, Germany 3. Greenventory GmbH, Georges-Köhler-Allee 302, 79110 Freiburg, Germany
Abstract
Self-consumption of the energy generated by photovoltaics (PV) is playing an increasingly important role in the power grid. “Prosumer” systems consume part of the produced energy directly to meet the local demand, which reduces the feed-in into as well as the demand from the grid. In order to analyse the effects of PV self-consumption in the power grid, we introduce a stochastic bottom-up model of PV power generation and local consumption in the control area of the German transmission system operator TransnetBW. We set up a realistic portfolio of more than 100,000 PV/prosumer systems to generate representative time series of PV generation and consumption as a basis to derive self-consumption and feed-in. This model allows for the investigation of the time-dependent behaviour in detail for the full portfolio whereas measurements are presently only available as aggregated feed-in time series over a nonrepresentative subset of systems. We analyse the variation of self-consumption with PV generation and consumption at the portfolio level and its seasonal, weekly and diurnal cycles. Furthermore, we study a scenario of 100% prosumers as a limiting case for a situation without subsidized feed-in tariffs and local energy storage.
Funder
Federal Ministry for Economic Affairs and Energy
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference35 articles.
1. Karalus, S., Köpfer, B., Guthke, P., Killinger, S., and Lorenz, E. (2021, January 28). Modelling PV self-consumption at portfolio level. Proceedings of the 11th Solar & Storage Power System Integration Workshop (SIW 2021), Institution of Engineering and Technology, Berlin, Germany. 2. Sengupta, M., Habte, A., Wilbert, S., Gueymard, C., and Remund, J. (2021). Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Third Edition, National Renewable Energy Lab.. Technical Report NREL/TP-5D00-77635. 3. A review of behind-the-meter solar forecasting;Erdener;Renew. Sustain. Energy Rev.,2022 4. Lenck, T., Podewils, C., and Jahn, A. (2020). Wie Weiter Nach der EEG-Förderung? Solaranlagen Zwischen Eigenverbrauch und Volleinspeisung, Agora Energiewende. Technical Report 188/01-H-2020/DE. 5. Kächele, R., Tomschitz, C., Rongstock, R., and Binder, J. (2021). Online-PV-Symposium, Conexio GmbH.
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