Triple-indexed passive islanding detection strategy for grid-connected distributed generation networks using an extended Kalman filter

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Nauman Ali Larik, Mengshi Li, Qinghua Wu
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Abstract

Islanding detection is a challenging issue in modern grid-connected distributed generation networks (GCDGN). Generally, islanding detection has two categories local and remote, local schemes can be categorized into active, passive, and hybrid schemes. This article proposes a triple-indexed passive islanding detection (TIPID) scheme using an extended Kalman filter (EKF). Initially, the EKF algorithm is applied on voltage signal at the point of the common coupling to estimate the desired fundamental and non-fundamental features. The first index, known as the cumulative voltage logarithmic index, is computed by taking the natural logarithm of the fundamental voltage features to detect any variations in the GCDGN. The second index, known as the voltage differentiation index (VDI), is calculated from the fundamental voltage features, while the third index, known as the odd-order harmonic distortion index (OOHDI), is obtained from the non-fundamental odd-order harmonics of the PCC voltage. Then, the VDI and OOHDI are compared to pre-defined threshold to detect/distinguish islanding events. The proposed TIPID method is validated through extensive simulations on the IEEE 13-bus test bed via MATLAB/Simulink 2022b. Results show that under both balanced/unbalanced load & generation, the proposed TIPID approach detects islanding occurrences with reduced non-detection zone (NDZ) in less than 5 ms.

Abstract Image

使用扩展卡尔曼滤波器的并网分布式发电网络三索引被动孤岛检测策略
孤岛检测是现代并网分布式发电网络(GCDGN)中一个具有挑战性的问题。一般来说,孤岛检测分为本地和远程两类,本地方案又可分为主动、被动和混合方案。本文提出了一种使用扩展卡尔曼滤波器(EKF)的三重索引被动孤岛检测(TIPID)方案。最初,EKF 算法应用于公共耦合点的电压信号,以估计所需的基波和非基波特征。第一个指数称为累积电压对数指数,通过对基波电压特征取自然对数来计算,以检测 GCDGN 中的任何变化。第二个指数称为电压差异指数(VDI),根据基波电压特征计算得出;第三个指数称为奇阶谐波失真指数(OOHDI),根据 PCC 电压的非基波奇阶谐波计算得出。然后,将 VDI 和 OOHDI 与预先定义的阈值进行比较,以检测/区分孤岛事件。通过 MATLAB/Simulink 2022b 在 IEEE 13 总线测试平台上进行大量仿真,验证了所提出的 TIPID 方法。结果表明,在负载和发电平衡/不平衡的情况下,所提出的 TIPID 方法能在 5 毫秒内检测到孤岛事件,并缩小了非检测区 (NDZ)。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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