DER-Fault：面向不同运行条件下分布式能源集成配电系统的基于仿真的故障数据集
DER-Fault: A Simulation-Based Fault Dataset for DER-Integrated Distribution Systems Under Diverse Operating Conditions
- University of Alberta（阿尔伯塔大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出基于仿真的DER-Fault数据集，覆盖多种运行条件与故障类型，用于开发和评估数据驱动的配电系统故障诊断方法。
AI中文摘要：
分布式能源（DER）集成的增长给配电系统运行条件带来了更大的变异性，从而产生了对全面数据集的需求，以开发和评估数据驱动的故障诊断方法。本文提出了DER-Fault，这是一个基于仿真的数据集，使用爱荷华州240节点配电系统在OpenDSS中生成，包含光伏（PV）发电、电动汽车（EV）充电和车辆到电网（V2G）运行。为了在保持可管理的仿真案例数量的同时捕捉年度负荷变异性，从8,760个逐时负荷曲线中选取了60个代表性运行条件，涵盖峰值、非峰值、过渡、典型工作日和典型周末条件。考虑了六种DER场景，具有不同的光伏和电动汽车渗透率以及V2G参与度。数据集包括正常运行和十种短路故障类别，具有不同的故障电阻。在选定的测量位置记录故障前和故障后的电压和线路电流相量测量值，共产生19,800个仿真案例。技术验证表明，数据集广泛覆盖了年度负荷和DER运行条件，对应于模拟故障类型的不同相别响应，以及随着故障电阻增加，电压相量扰动的一致减少。所得数据集为开发和评估机器学习及其他数据驱动方法在DER集成配电系统中进行故障检测、分类和定位提供了结构化资源。
英文摘要：
The growth of distributed energy resource (DER) integration introduces greater variability in distribution system operating conditions, creating a need for comprehensive datasets for developing and evaluating data-driven fault diagnostic methods. This paper presents \textbf{DER-Fault}, a simulation-based dataset generated in OpenDSS using the Iowa 240-bus distribution system with photovoltaic (PV) generation, electric vehicle (EV) charging, and vehicle-to-grid (V2G) operation. To capture annual load variability while maintaining a manageable number of simulation cases, 60 representative operating conditions are selected from 8,760 hourly load profiles, covering peak, off-peak, transition, typical weekday, and typical weekend conditions. Six DER scenarios with varying PV and EV penetration levels and V2G participation are considered. The dataset includes normal operation and ten short-circuit fault classes, with varying fault resistance. Pre- and post-fault voltage and line-current phasor measurements are recorded at selected measurement locations, resulting in 19,800 simulation cases. Technical validation demonstrates broad coverage of annual loading and DER operating conditions, distinct phase-specific responses corresponding to the simulated fault types, and a consistent reduction in voltage-phasor disturbance with increasing fault resistance. The resulting dataset provides a structured resource for developing and evaluating machine-learning and other data-driven methods for fault detection, classification, and localization in DER-integrated distribution systems.
