Dataset for: Impact of distributed BESS controlled by optimization-based HEMS on the voltage profiles in high PV-saturated LV networks

Dataset for: Impact of distributed BESS controlled by optimization-based HEMS on the voltage profiles in high PV-saturated LV networks This repository contains the dataset used for the simulations and analyses presented in the research article: "Impact of distributed battery energy storage controlled by optimization-based home energy management systems implementing various objective functions on the voltage profiles in the low-voltage network with a high saturation of prosumer photovoltaic micro-installations" Authors of the Article and Dataset Roman Korab (Department of Power Systems and Control, Faculty of Electrical Engineering, Silesian University of Technology, Gliwice, Poland) - Corresponding Author Marcin Połomski (Department of Algorithmics and Software, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland) Marcin Smołka (Joint Doctoral School, Silesian University of Technology, Gliwice, Poland) Tomasz Naczyński (Joint Doctoral School, Silesian University of Technology, Gliwice, Poland) Abstract of the Article Prosumer photovoltaic (PV) micro-installations change the operating conditions of low-voltage (LV) networks. When these networks are highly saturated with PV sources, some disruptions in their operation may occur periodically. In particular, long-term overvoltages are a frequent phenomenon, the most noticeable effect of which is the shutdown of PV sources. The simulation results showed that long-term overvoltages could affect more than a third of the customers supplied from a real LV rural network and last up to 383 hours per year. As a result, the yearly generation of the PV source can be reduced by up to 25.6%. The method of overvoltage mitigation analyzed in this article consists of changing the unfavorable power balance using distributed battery energy storage systems (BESSs). However, the effectiveness of this voltage control method depends on the adopted control strategy for the BESSs. In this article, distributed BESSs are assumed to be controlled by individual, optimization-based home energy management systems (HEMSs). Using a model of a real LV rural network, the impact of BESSs operating according to the schedules resulting from two objective functions of HEMSs (i.e., energy cost minimization and maximization of prosumer financial neutrality) are compared. Better results are achieved when BESSs are operated according to profiles that maximize the financial neutrality of prosumers. In this case, the maximum duration of long-term overvoltages is reduced from 383 to 231 hours per year, compared with 251 hours when the BESSs are controlled in a way that minimizes energy costs, while the yearly reduction in PV generation is 16.1% and 17.9%, respectively. Dataset Description This dataset comprises simulation results derived from a model of an actual low-voltage (LV) rural distribution network. It encompasses various scenarios of Battery Energy Storage System (BESS) operation, with data organized into daily and yearly simulation outputs. Note on Network Model: The detailed model of the LV distribution network used for these simulations is proprietary and not publicly available due to confidentiality agreements with the network operator. However, the input data profiles provided in the subfolders allow for the replication of load, PV generation, and BESS dispatch conditions. File Naming Convention and Content Details Files prefixed with !Sieć_nN_Mon_line... contain monitoring data for individual customer connection points (lines/feeders). ..._p_q_1.csv: Time-series of active power (P) and reactive power (Q). Columns: [PLACEHOLDER: e.g., Timestamp, P_L1_kW, Q_L1_kvar, P_L2_kW, Q_L2_kvar, P_L3_kW, Q_L3_kvar]. Time resolution: [PLACEHOLDER: e.g., 1-minute]. ..._u_i_1.csv: Time-series of voltage (U) and current (I). Columns: [PLACEHOLDER: e.g., Timestamp, U_L1_V, I_L1_A, ...]. Time resolution: [PLACEHOLDER]. Files prefixed with !Sieć_nN_Mon_transformer... contain MV/LV transformer monitoring data. Files prefixed with !Sieć_nN_Mon_pvsystem... contain PV system generation data (per phase). Files prefixed with !Sieć_nN_Mon_load... contain customer load data (per phase). Files prefixed with !Sieć_nN_Mon_storage... (within BESS scenarios) detail BESS charging/discharging power and State of Charge (SoC). Columns: [PLACEHOLDER: e.g., Timestamp, P_BESS_kW, SoC_percent]. Files within LV grid subfolders (DI_..., em_...) are standard OpenDSS output reports, containing aggregated grid parameters, overload reports, and voltage exception summaries. Files within OpenDSS data subfolders provide key input time-series profiles for the OpenDSS simulations (e.g., Bus_Load.csv for aggregated load profiles, PV_Irradiance.csv, PV_Temperature.csv, and BESS dispatch schedules in Bus_Storage - [scenario].csv). All data files are in CSV (Comma Separated Values) format, using [PLACEHOLDER: e.g., a comma as a delimiter and a period as a decimal separator]. Column headers are provided in the first row of each CSV file. How to Use This Data This dataset is provided to enable: Replication of the simulation results presented in the associated research article. Further investigation into the impacts of BESS and PV systems on LV distribution networks. Development and validation of novel BESS control algorithms or HEMS objective functions. Citation Researchers using this dataset are kindly requested to cite both the original research article and this dataset. License This dataset is made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This license allows others to: Share — copy and redistribute the material in any medium or format. Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This includes citing the original research article (see "Citation" section above) and this dataset (if a DOI is available). For the full license text, please visit: https://creativecommons.org/licenses/by/4.0/legalcode Note on Automated Data Collection and AI Training Please note that while this data is publicly available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, any automated collection or use of this data for the training of artificial intelligence models should respect the terms of the license, particularly regarding attribution to the original authors and this work. Contact For inquiries regarding this dataset or the associated research, please contact the corresponding author.本数据集对应研究：基于优化型家庭能源管理系统（Home Energy Management System, HEMS）控制的分布式电池储能系统（Battery Energy Storage System, BESS）对高光伏饱和低压（Low Voltage, LV）电网电压分布的影响 本仓库包含发表于以下研究论文的仿真与分析所用数据集： 《基于多种目标函数的优化型家庭能源管理系统控制的分布式电池储能对高渗透率用户侧光伏微装置的低压电网电压分布的影响》 论文与数据集作者 罗曼·科拉布（波兰西里西亚工业大学电气工程学院电力系统与控制系，格利维采，波兰）——通讯作者 马辛·波洛姆斯基（波兰西里西亚工业大学自动控制、电子与计算机科学学院算法与软件系，格利维采，波兰） 马辛·斯莫尔卡（波兰西里西亚工业大学联合博士研究生院，格利维采，波兰） 托马斯·纳钦斯基（波兰西里西亚工业大学联合博士研究生院，格利维采，波兰） 论文摘要 用户侧光伏（Photovoltaic, PV）微装置改变了低压（LV）电网的运行工况。当此类电网中光伏电源渗透率过高时，其运行可能周期性出现故障。其中，长期过电压是常见现象，最显著的影响是导致光伏电源停机。仿真结果表明，某实际低压农村电网的超三分之一供电用户可能受到长期过电压影响，年持续时长可达383小时，进而导致光伏电源年发电量最高减少25.6%。本文分析的过电压缓解方法通过分布式电池储能系统（BESS）调整不利的功率平衡实现，但该电压控制方法的有效性取决于所采用的BESS控制策略。本文假设分布式BESS由独立的优化型家庭能源管理系统（HEMS）控制。借助某实际低压农村电网模型，本文对比了依据两种HEMS目标函数生成的调度方案运行的BESS的影响：一是能源成本最小化，二是最大化用户财务中性。当BESS按照最大化用户财务中性的曲线运行时，效果更优：此时长期过电压的最长年持续时长从383小时降至231小时，而采用能源成本最小化控制方式的BESS对应的时长为251小时；同时光伏年发电量分别减少16.1%与17.9%。 数据集说明 本数据集包含基于实际低压农村配电网模型得到的仿真结果，涵盖各类电池储能系统（BESS）运行场景，数据按每日与年度仿真输出进行组织。 网络模型说明：本次仿真所用的低压配电网详细模型因与电网运营商签订保密协议，属于专有内容，未公开。但子文件夹中提供的输入数据剖面可复现负荷、光伏出力与BESS调度工况。 文件命名规范与内容详情 - 以!Sieć_nN_Mon_line为前缀的文件包含各用户接入点（线路/馈线）的监测数据。 - *_p_q_1.csv：有功功率（P）与无功功率（Q）的时间序列。列字段：[示例：Timestamp, P_L1_kW, Q_L1_kvar, P_L2_kW, Q_L2_kvar, P_L3_kW, Q_L3_kvar]。时间分辨率：[示例：1分钟]。 - *_u_i_1.csv：电压（U）与电流（I）的时间序列。列字段：[示例：Timestamp, U_L1_V, I_L1_A, ...]。时间分辨率：[示例：1分钟]。 - 以!Sieć_nN_Mon_transformer为前缀的文件包含中压/低压（MV/LV）变压器监测数据。 - 以!Sieć_nN_Mon_pvsystem为前缀的文件包含光伏系统出力数据（分相）。 - 以!Sieć_nN_Mon_load为前缀的文件包含用户负荷数据（分相）。 - （BESS场景内）以!Sieć_nN_Mon_storage为前缀的文件详细记录BESS充放电功率与荷电状态（State of Charge, SoC）。列字段：[示例：Timestamp, P_BESS_kW, SoC_percent]。 - LV电网子文件夹（DI_...、em_...）内的文件为标准OpenDSS输出报告，包含聚合电网参数、过载报告与电压异常汇总。 - OpenDSS数据子文件夹内的文件提供OpenDSS仿真所需的关键输入时间序列剖面，例如：Bus_Load.csv（聚合负荷剖面）、PV_Irradiance.csv、PV_Temperature.csv，以及Bus_Storage-[scenario].csv中的BESS调度方案。 - 所有数据文件均采用逗号分隔值（Comma Separated Values, CSV）格式，采用[示例：逗号作为分隔符、句点作为小数分隔符]。每个CSV文件的第一行为列标题。 数据使用方式 本数据集可用于： 1. 复现相关研究论文中展示的仿真结果； 2. 进一步研究BESS与光伏系统对低压配电网的影响； 3. 开发并验证新型BESS控制算法或HEMS目标函数。 引用说明 使用本数据集的研究人员请务必同时引用原研究论文与本数据集。 许可协议 本数据集采用知识共享署名4.0国际通用（Creative Commons Attribution 4.0 International, CC BY 4.0）许可协议发布。 该许可允许他人： - 共享——以任何媒介或格式复制并分发本材料； - 改编——为任何目的（包括商业用途）重新混合、转换并基于本材料创作衍生作品。 许可条款如下： - 署名——您必须给出适当的署名，提供许可协议链接，并说明是否对材料进行了修改。您可以通过任何合理方式实现，但不得暗示许可方认可您或您的使用方式。其中包括引用原研究论文（见上文“引用说明”部分）与本数据集（若可获取数字对象标识符DOI）。 完整许可协议文本请访问：https://creativecommons.org/licenses/by/4.0/legalcode 自动化数据采集与AI训练说明 请注意，尽管本数据集在CC BY 4.0许可下公开可用，但任何为训练人工智能模型而进行的自动化采集或使用本数据的行为，均需遵守该许可协议的条款，尤其需注明对原作者与本工作的署名要求。 联系方式 如有关于本数据集或相关研究的问询，请联系通讯作者。