From customers to prosumers: PV systems impact on residential load profiles, peak power, and coincidence

This study investigates the impact of solar photovoltaic (PV) systems on electricity consumption and grid dynamics in Norwegian households. Using hourly smart meter data from 81 households, the study compares two years before and after PV system installation to quantify changes in load profiles, feed-in electricity, coincidence factors, and aggregated peak power. The results reveal seasonal and daily variations in feed-in and grid load, with higher feed-in during summer months. The study also highlights challenges posed by the coincidence of feed-in across households, potentially leading to higher aggregated feed-in peaks than grid load peaks. Strategies such as self-consumption optimization can help mitigate grid challenges as the number of prosumers increases. In addition, energy curtailment, such as at a 60% feed-in-to-PV capacity ratio could reduce the feed-in peak and only curtail 2% of the yearly feed-in for prosumers in average, with higher losses at lower ratios.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.2101
Primary Topic
Smart Grid Energy Management
Type
article
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article

From customers to prosumers: PV systems impact on residential load profiles, peak power, and coincidence

Daniel Bjerkehagen, Åse Lekang Sørensen, Harald Taxt Walnum, Jarand Hole
IET conference proceedings.
Smart Grid Energy Management
article

From customers to prosumers: PV systems impact on residential load profiles, peak power, and coincidence

Daniel Bjerkehagen, Åse Lekang Sørensen, Harald Taxt Walnum, Jarand Hole
article en

Abstract

This study investigates the impact of solar photovoltaic (PV) systems on electricity consumption and grid dynamics in Norwegian households. Using hourly smart meter data from 81 households, the study compares two years before and after PV system installation to quantify changes in load profiles, feed-in electricity, coincidence factors, and aggregated peak power. The results reveal seasonal and daily variations in feed-in and grid load, with higher feed-in during summer months. The study also highlights challenges posed by the coincidence of feed-in across households, potentially leading to higher aggregated feed-in peaks than grid load peaks. Strategies such as self-consumption optimization can help mitigate grid challenges as the number of prosumers increases. In addition, energy curtailment, such as at a 60% feed-in-to-PV capacity ratio could reduce the feed-in peak and only curtail 2% of the yearly feed-in for prosumers in average, with higher losses at lower ratios.

IET conference proceedings.Vol. 2025(14)
Norwegian Water Resources and Energy Directorate (NO), SINTEF (NO), SINTEF Energy Research (NO), NTNU Samfunnsforskning (NO), SINTEF Community
Openalex Percentile: Top 71%
Smart Grid Energy Management
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