利用离散 Teager 能量和广义最小二乘法检测和定位直流微电网故障

COMPEL Pub Date : 2024-02-22 DOI:10.1108/compel-02-2023-0062
Subrat Kumar Barik, Smrutimayee Nanda, Padarbinda Samal, Rudranarayan Senapati
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引用次数: 0

摘要

本文旨在为具有环形母线的微电网直流网络引入一种新的故障保护方案。众所周知,由于直流环形母线微电网中存在双向功率流,因此保护方案变得非常复杂。为了提供可靠的保护,采用自适应变异模式分解 (VMD) 技术将差分电流信号分解为多个基本模式。在这种方法中,模式数和惩罚因子通过算术优化算法进行优化选择,与传统的 VMD 相比,能获得令人满意的分解结果。加权峰度指数被用作选择敏感模式的测量指标,用于评估离散 Teager 能量 (DTE),以指示直流故障的发生。为了定位电缆故障,两端的电流信号以逐个采样的方式被用于制定状态空间矩阵,并通过广义最小二乘法进行求解。通过考虑各种测试案例,在 MATLAB/SIMULINK 中对所提出的保护方法进行了验证。研究结果 DTE 用于检测极-极和极-地故障以及其他干扰,如高阻抗故障和串联电弧故障,与一些现有技术相比,检测时间更短(10 毫秒)。
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Detection and localization of fault in DC microgrid using discrete Teager energy and generalized least square method

Purpose

This paper aims to introduce a new fault protection scheme for microgrid DC networks with ring buses.

Design/methodology/approach

It is well recognized that the protection scheme in a DC ring bus microgrid becomes very complicated due to the bidirectional power flow. To provide reliable protection, the differential current signal is decomposed into several basic modes using adaptive variational mode decomposition (VMD). In this method, the mode number and the penalty factor are chosen optimally by using arithmetic optimization algorithm, yielding satisfactory decomposition results than the conventional VMD. Weighted Kurtosis index is used as the measurement index to select the sensitive mode, which is used to evaluate the discrete Teager energy (DTE) that indicates the occurrence of DC faults. For localizing cable faults, the current signals from the two ends are used on a sample-to-sample basis to formulate the state space matrix, which is solved by using generalized least squares approach. The proposed protection method is validated in MATLAB/SIMULINK by considering various test cases.

Findings

DTE is used to detect pole-pole and pole-ground fault and other disturbances such as high-impedance faults and series arc faults with a reduced detection time (10 ms) compared to some existing techniques.

Originality/value

Verification of this method is performed considering various test cases in MATLAB/SIMULINK platform yielding fast detection timings and accurate fault location.

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