论文标题
基于图的故障线识别使用分配系统中的MICRO-PMU数据
Graph-based Faulted Line Identification Using Micro-PMU Data in Distribution Systems
论文作者
论文摘要
本文通过使用分布网络中有限数量的μpmus使用少量的μpmus提出了一种新型的基于图的故障线识别算法，这是由于分布式发电机（DGS）的渗透（DGS）的渗透率（DGS）的渗透和快速开发的。该方法的核心是应用高级分配系统状态估计（DSSE）技术，将μpmu数据集成到故障位置。我们提出了一个分布式的DSSE算法，以有效限制两个相邻μpmus之间的馈线中的故障源的搜索区域。基于减少搜索区域中馈线的图形模型，我们在层次结构中进一步执行DSSE，并确定故障源的位置。同样，提出的方法捕获了DGS对分配系统操作的影响，并在测量中对高级噪声保持稳健。数值模拟在涵盖多种故障类型和故障阻抗的各种故障场景下验证所提出方法的准确性和效率。
Motivated by increasing penetration of distributed generators (DGs) and fast development of micro-phasor measurement units (μPMUs), this paper proposes a novel graph-based faulted line identification algorithm using a limited number of μPMUs in distribution networks. The core of the proposed method is to apply advanced distribution system state estimation (DSSE) techniques integrating μPMU data to the fault location. We propose a distributed DSSE algorithm to efficiently restrict the searching region for the fault source in the feeder between two adjacent μPMUs. Based on the graph model of the feeder in the reduced searching region, we further perform the DSSE in a hierarchical structure and identify the location of the fault source. Also, the proposed approach captures the impact of DGs on distribution system operation and remains robust against high-level noises in measurements. Numerical simulations verify the accuracy and efficiency of the proposed method under various fault scenarios covering multiple fault types and fault impedances.
