Supplementary Code to publication: Dynamic grid fees for Germany and their effect on the system friendliness of decentral storage

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a reproducible methodology for evaluating grid fee structures on storage operation and grid capacity.

🏢実務担当者:Utilities and grid operators can use the dynamic fee structures to reduce grid extension costs.

🏛政策担当者:Offers evidence for designing dynamic grid fees to support renewable integration without excessive grid investment.

Context Code transparency repository for publication titleled: "Dynamic grid fees for Germany and their effect on the system friendliness of decentral storage" authored by Karoline Brucke, Sunke Schlüters, Oriol Raventos, Benedikt Hanke, Carsten Agert and Karsten von Maydell. Due to confidentiality reasons, the data needed to execute the code cannot be published. Feel free to run the code with your own PyPSA outputs. The CSV files included here are able to recreate most plots from the respective publication including the main results.  Abstract of the publication: The energy transition increases the share of decentralized and weather-dependent generation. This makes the synchronization of supply and demand more complex and raises the need for local price signals. Dynamic grid fees are a politically realistic instrument to provide such signals in Germany. However, their exact design and their quantitative contribution to the system remain unclear. We propose nine dynamic grid fee structures derived from local grid utilization and apply them across three German regions with vastly different characteristics based on a sustainable scenario. We use the system friendliness framework to assess the impact of each fee structure on the operation of decentral storage and its influence on system-wide grid and storage capacity requirements. This framework allows data-driven comparisons independent of regulatory conditions or technology assumptions. We find that market-only operation, which reflects the current situation in Germany, reduces system-wide storage needs to the maximum extent but causes significant grid extension in all regions. Dynamic grid fees reduce this grid extension demand, but always at the cost of less temporal synchronization. The grid reduction potential is highest in wind-dominated regions due to the high volatility of renewable feed-in. It is lowest in demand and industry-heavy regions, where grid extension is driven by the regular load profile rather than generation. The daily repetitive grid fees published by distribution system operators perform well in solar-dominated regions but cause additional grid extension in wind-dominated areas. Our method provides a foundation for the analysis of cost-effective regulation to synchronize generation, transport and demand in the electricity grid in Germany. Feature List data_preprocessing.ipynb : Preprocesses PyPSA outputs to be processed in oemof models benchmarking.py : Optimizes an omeof model with given data after preprocessing PyPSA data fee_preprocessing.ipynb : Calculates grid fees based on grid fee utilization which is determined by optimizing a multi-node oemof model representing a specific region in Germany on the 110kV level by running benchmarking.py main.py : Optimizes stand-alone storage operation under different grid fee structures and afterwards optimizes energy flows in German regions including the storage operation and stores results in .pkl files evaluate.py : Evaluates system friendliness indicators by analyzing the oemof outputs and stores results as csv files plotting.ipynb : Visualizes results for the publication based on the output of evaluate.py utils.py : Utilitary functions optimization.py : Optimization functions used in main.py Execution Run data_preprocessing.ipynb with respective PyPSA data Run benchmarking.py Run fee_preprocessing.ipynb Run main.py Run evaluate.py Run plotting.ipynb Support In case of questions, reach out to Karoline Brucke ( [email protected] ) or Sunke Schlüters ( [email protected] ) Authors and acknowledgment Authors and contributors: Karoline Brucke, Sunke Schlüters License CC BY-SA 4.0 Project status There is no further development happening for this project since it only serves as supplementary material to the publication. Feel free to download and use the code for your own purposes.

• Zenodo https://zenodo.org/records/21389550first seen 2026-07-17 04:15:20