Data and code underlying the publication: How battery energy storage impacts grid congestion – An evaluation of the trade-offs between different battery control strategies

The goal of this research was to evaluate the effects of different battery control strategies on battery performance and battery grid impacts. This dataset contains the code and data necessary to simulate power flows on a distribution grid in a rural village in the Netherlands, including interactions with household batteries. The model considers current grid topology, current consumer load and generation profiles, and the potential effects of introducing household batteries to the area. All data has 15-minute timesteps; units are in MW unless indicated otherwise.<br>Includes the following datasets:Electricity grid model parameters, derived from grid topology data (.xlsx file).Average annual load and generation profiles for consumer connections, derived from measurements (.csv files).EPEX electricity market prices (.csv file).Results and data analysis (.xlsm file).<br>Also included is the .py file with the code used to simulate power flows in the grid and battery energy storage systems.<br>A readme file provides additional details and contact information.<br>This work is supported by Hanze University of Applied Sciences and the NO GIMZOS project funded by Topsector Energie - RVO.

本研究旨在评估不同电池控制策略对电池性能及电池并网对电网造成的影响的效应。本数据集包含用于模拟荷兰某乡村配电网潮流（含户用电池交互过程）所需的全部代码与数据。该模型考量了当前电网拓扑结构、当前用户负荷与发电曲线，以及该区域引入户用电池后的潜在影响。所有数据的时间步长均为15分钟；若无特殊说明，单位均为兆瓦（MW）。
本数据集包含以下内容：源自电网拓扑数据的电网模型参数（存储于.xlsx文件）；源自实测数据的用户接入点年均负荷与发电曲线（存储于.csv文件）；EPEX电力市场电价数据（存储于.csv文件）；结果与数据分析文件（存储于.xlsm文件）。
此外还附带了用于模拟电网及电池储能系统潮流的Python代码文件（.py格式）。
另有一份自述文件（readme）提供了额外细节与联系方式。
本研究得到汉斯应用科学大学（Hanze University of Applied Sciences）以及由Topsector Energie - RVO资助的NO GIMZOS项目支持。