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Private Set Intersection With Authorization Over Outsourced Encrypted Datasets
IEEE Transactions on Information Forensics and Security ( IF 6.3 ) Pub Date : 2021-07-28 , DOI: 10.1109/tifs.2021.3101059
Yuanhao Wang , Qiong Huang , Hongbo Li , Meiyan Xiao , Sha Ma , Willy Susilo

Impedance based fault location schemes using substation measurements are becoming absolute due to the introduction of distributed generation and islanding-mode operating capability of distribution system (DS). In this article, a new fault location algorithm is presented for active distribution systems using microphasor measurement units (μPMU) and smart meter (SM) data. The line current data obtained from the μPMUs in the DS are exploited to divide the system into different zones. To identify the faulted zone, a fault zone identification parameter is devised based on the pre and during fault positive sequence current injection data recorded in the μPMUs. Next, fault location analysis is limited to the identified zone to reduce the computational complexity. To locate the fault within the identified zone, the work proposes two parameters for the identification of bus nearest to fault (BNF) and faulted line section connected to the identified bus. The scheme does not require the information about the type of ground faults and is applicable to balanced, unbalanced, grid connected and as well as islanded distribution systems.

中文翻译:


私有集与外包加密数据集授权的交集



由于分布式发电和配电系统(DS)孤岛模式运行能力的引入,使用变电站测量的基于阻抗的故障定位方案正在变得绝对化。在本文中,提出了一种使用微相量测量单元 (μPMU) 和智能电表 (SM) 数据的主动配电系统的新故障定位算法。利用从 DS 中的 μPMU 获得的线路电流数据将系统划分为不同的区域。为了识别故障区域,根据μPMU中记录的故障前和故障期间正序电流注入数据设计了故障区域识别参数。接下来,故障定位分析仅限于识别的区域,以降低计算复杂度。为了在识别区域内定位故障,该工作提出了两个参数来识别最接近故障的母线(BNF)和连接到所识别母线的故障线路部分。该方案不需要有关接地故障类型的信息,适用于平衡、不平衡、并网以及孤岛配电系统。
更新日期:2021-07-28
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