*** How battery energy storage impacts grid congestion – An evaluation of the trade-offs between different battery control strategies ***
Authors: van Someren, C.; Visser, M.; Slootweg, H.
Electrical Energy Systems, department of Electrical Engineering, Eindhoven University of Technology

Corresponding author: C. van Someren

Contact Information:
c.e.j.van.someren@pl.hanze.nl
Hanze University of Applied Sciences, ENTRANCE - Centre of Expertise Energy
Zernikelaan 17, 9747 AA Groningen
The Netherlands

***General Introduction***
This dataset contains the data used to evaluate battery performance and battery grid impacts in a practical setting using the Battery Energy Storage Evaluation Method. The associated article has been submitted for publication and is under review.

***Purpose of the test***
The purpose of these tests were to illustrate how the Battery Energy Storage Evaluation Method can be used to evaluate the battery grid impacts and battery performance resulting from different battery control strategies. These results can help inform public policy and regulations regarding household batteries.

***Test equipment***
All data were simulated, though the load and generation profiles were derived from measurement data at LV/MV transformers.

***Description of the data in this data set***
The dataset contains the Python model used to generate the results in the article, as well as all of the required input and output data. These data include:
- Grid properties: This file describes the transformer properties, cable properties and connection locations of the local households. These data were used to build a model of the local distribution grid using Pandapower. The cable numbering was used to delineate main cable branches from sub-branches.
- Generation pattern: The average annual 15-minute PV generation profile for the houses in the area of study; units are in MW.
- Load pattern: The average annual 15-minute load profile for the houses in the area of study; units are in MW.
- MV grid profile: The annual 15-minute load/generation profile for the external gird (i.e., all loads/generations resulting from consumers outside the area of study); units are in MW.
- EPEX prices: The annual hourly day-ahead electricity prices for the Netherlands; units are in euros/MWh.
- Results analysis: The model outputs and associated graphs; units are given in section headers.