Passive-Islanding Detection Method Using the Wavelet Packet Transform in Grid-Connected Photovoltaic Systems

被引：79

作者：

Hieu Thanh Do ^{[1
]}

Zhang, Xing ^{[1
]}

Ngu Viet Nguyen ^{[2
]}

Li, Shan Shou ^{[1
]}

Tho Thi-Thanh Chu ^{[2
]}

机构：

[1] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Peoples R China

[2] Hung Yen Univ Technol & Educ, Sch Elect & Elect Engn, Hung Yen 160000, Vietnam

来源：

IEEE TRANSACTIONS ON POWER ELECTRONICS | 2016年 / 31卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Neural networks; nondetection zone (NDZ); passive islanding detection; photovoltaic system; wavelet packet transform; DISTRIBUTED GENERATION; VOLTAGE; DESIGN;

D O I：

10.1109/TPEL.2015.2506464

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a new approach in the passive-islanding detection method has been studied for the grid-connected photovoltaic (PV) inverter system using the wavelet packet transform (WPT) and back propagation neural network (BPNN). This proposed method is based on the point of common coupling voltage measurement and processing of this signal with a WPT to find the normalized logarithmic energy entropy. The BPNN is used for decision-making mechanism to avoid threshold. With this technique, the islanding operation is able to detect within 40 ms. In addition, it is effective even when the power supplied by distributed generation and the power consumed by the load is matched. In order to verify the capability of the proposed method, the simulation and experimental results of a 1.2-kW PV inverter by IEC Std. 62116 are provided. The proposed technique can be applied to both single-and multi-PV systems.

引用

页码：6955 / 6967

页数：13

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