Implementing dynamic power feed-in limitations of photovoltaic systems in distribution grids for generation expansion planning

The rapid growth of photovoltaic (PV) systems in Austria’s medium- and low-voltage grids has intensified challenges in grid access, with technical limits increasingly leading to restrictions on full feed-in power. This issue has sparked discussions about limiting PV feed-in power and the implications for both generated and curtailed PV energy. At the same time, expanding PV capacity remains critical to achieving future climate targets. However, there is a lack of robust methodologies to quantify the impact of PV feed-in limitations when implemented in an optimization model. This impact affects both the curtailed energy and the increase in maximum PV installation capacity and total energy production. To address this gap, we have developed a mathematical formulation of dynamic PV feed-in limitations and integrated it into an optimization model. This approach enables a comprehensive evaluation of its effects on PV integration potential and energy curtailment, validated through case studies on four representative real-world Austrian medium- and low-voltage grids. We analyzed maximum PV expansion, energy generation, and curtailment under feed-in constraints. The results highlight the potential for integrating up to 32% additional PV systems within existing infrastructure while keeping PV curtailment relatively low, i.e. at 2%. We provide actionable insights for grid operators and policymakers aiming to balance renewable energy expansion with grid reliability. • By means of dynamic feed-in limitation PV capacity can be increased by up to 32%. • Results indicate feed-in limitations cause an overall energy loss of only 2%. • An approach to modeling and analyzing dynamic feed-in limitation for PV expansion. • Methodology demonstrated on characteristic Austrian low- and medium-voltage grids.

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Publication Details

Journal
Energy Strategy Reviews
Published
2025-05-01
DOI
https://doi.org/10.1016/j.esr.2025.101760
Citations
1
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.73
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article

Implementing dynamic power feed-in limitations of photovoltaic systems in distribution grids for generation expansion planning

Robert Gaugl, Sonja Wogrin, Alexander Konrad, Ch. Maier
1 citations
Energy Strategy Reviews
Optimal Power Flow Distribution
0.73
article

Implementing dynamic power feed-in limitations of photovoltaic systems in distribution grids for generation expansion planning

Robert Gaugl, Sonja Wogrin, Alexander Konrad, Ch. Maier
article en
1 citations

Abstract

The rapid growth of photovoltaic (PV) systems in Austria’s medium- and low-voltage grids has intensified challenges in grid access, with technical limits increasingly leading to restrictions on full feed-in power. This issue has sparked discussions about limiting PV feed-in power and the implications for both generated and curtailed PV energy. At the same time, expanding PV capacity remains critical to achieving future climate targets. However, there is a lack of robust methodologies to quantify the impact of PV feed-in limitations when implemented in an optimization model. This impact affects both the curtailed energy and the increase in maximum PV installation capacity and total energy production. To address this gap, we have developed a mathematical formulation of dynamic PV feed-in limitations and integrated it into an optimization model. This approach enables a comprehensive evaluation of its effects on PV integration potential and energy curtailment, validated through case studies on four representative real-world Austrian medium- and low-voltage grids. We analyzed maximum PV expansion, energy generation, and curtailment under feed-in constraints. The results highlight the potential for integrating up to 32% additional PV systems within existing infrastructure while keeping PV curtailment relatively low, i.e. at 2%. We provide actionable insights for grid operators and policymakers aiming to balance renewable energy expansion with grid reliability. • By means of dynamic feed-in limitation PV capacity can be increased by up to 32%. • Results indicate feed-in limitations cause an overall energy loss of only 2%. • An approach to modeling and analyzing dynamic feed-in limitation for PV expansion. • Methodology demonstrated on characteristic Austrian low- and medium-voltage grids.

Energy Strategy ReviewsVol. 59
Graz University of Technology (AT), Government of Lower Austria (AT)
Affordable and clean energy
Openalex Percentile: Top 28%
Optimal Power Flow Distribution
0.73
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