Distribution Systems Fault Location Identification Using Mixed Datasets

IF 3.8 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Power Delivery Pub Date : 2025-02-07 DOI:10.1109/TPWRD.2025.3539734

Ali Shakeri Kahnamouei;Saeed Lotfifard

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Abstract

This paper proposes a method for identifying fault locations in active distribution networks equipped with inverter-interfaced distributed generations (IIDGs). The proposed method is capable of utilizing all available mixed datasets of modern distribution networks to improve the performance and precision of the fault location identification results. The dataset may include analog/oscillography data and discrete/status data. A causal model for the faulted system based on probabilistic Petri-Nets and backward reachability analysis is developed that utilizes the collected discrete/status data to determine the faulted section of the system. The model accounts for possible failures of protective devices and false notifications from fault indicators. An enhanced impedance-based fault location identification method is proposed that utilizes analog data from micro-PMUs and/or legacy measuring devices to estimate the exact location of the fault within the identified faulted section. It explicitly accounts for the uncertainties in the collected data. The proposed method's performance is showcased by simulating the IEEE 34-node distribution test system.

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基于混合数据集的配电系统故障定位识别

提出了一种基于逆变器接口分布式电源（iidg）的有源配电网故障定位方法。该方法能够充分利用现有配电网的混合数据集，提高故障定位识别结果的性能和精度。数据集可能包括模拟/示波器数据和离散/状态数据。建立了基于概率petri网和后向可达性分析的故障系统因果模型，利用收集到的离散/状态数据确定系统的故障部分。该模型考虑了保护装置可能出现的故障和故障指示器的错误通知。提出了一种增强的基于阻抗的故障定位识别方法，该方法利用来自微型pmu和/或传统测量设备的模拟数据来估计故障区域内故障的准确位置。它明确地说明了所收集数据中的不确定性。通过对IEEE 34节点配电测试系统的仿真，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Power Delivery 工程技术-工程：电子与电气

CiteScore

9.00

自引率

13.60%

发文量

513

审稿时长

6 months

期刊介绍： The scope of the Society embraces planning, research, development, design, application, construction, installation and operation of apparatus, equipment, structures, materials and systems for the safe, reliable and economic generation, transmission, distribution, conversion, measurement and control of electric energy. It includes the developing of engineering standards, the providing of information and instruction to the public and to legislators, as well as technical scientific, literary, educational and other activities that contribute to the electric power discipline or utilize the techniques or products within this discipline.