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低谐波畸变的快速主动移频式孤岛检测方法

邹培源 黄纯 白振宇 石雁祥 王永红

电力系统及其自动化学报2018,Vol.30Issue(1):58-63,6.
电力系统及其自动化学报2018,Vol.30Issue(1):58-63,6.DOI:10.3969/j.issn.1003-8930.2018.01.009

低谐波畸变的快速主动移频式孤岛检测方法

Fast Active Frequency Drift Islanding Detection Method with Lower Total Harmonic Distortion

邹培源 1黄纯 1白振宇 2石雁祥 1王永红2

作者信息

  • 1. 湖南大学电气与信息工程学院,长沙 410082
  • 2. 伊犁师范学院电子与信息工程学院,伊宁 835000
  • 折叠

摘要

Abstract

Active frequency drift(AFD)method is commonly used in islanding detection for grid-connected photovoltaic generation system. The increase of disturbance intensity characterized by chopping fraction can speed up the detection of islanding,however,it also magnifies the total harmonic distortion(THD). Therefore,it is a hard work to select a suit-able chopping fraction. With the consideration that the existing algorithms cannot keep a balance between power quality and islanding detection speed,a new control strategy of chopping fraction is proposed in this paper. Moreover,according to frequency drift and its variation rate of the point of common coupling(PCC)voltage,dynamic fuzzy optimization is performed on the positive feedback coefficient. A simulation model of islanding detection is established,and simulation results show that the proposed method can reduce the THD of inverter current by minimizing the chopping fraction under normal condition,and detect islanding quickly and accurately after power off without non-detection zone(NDZ).

关键词

光伏发电/孤岛检测/主动频率偏移法/模糊优化/截断系数

Key words

photovoltaic generation/islanding detection/active frequency drift(AFD)/fuzzy optimization/chopping fraction

分类

信息技术与安全科学

引用本文复制引用

邹培源,黄纯,白振宇,石雁祥,王永红..低谐波畸变的快速主动移频式孤岛检测方法[J].电力系统及其自动化学报,2018,30(1):58-63,6.

基金项目

国家自然科学基金资助项目(51677060) (51677060)

电力系统及其自动化学报

OA北大核心CSCDCSTPCD

1003-8930

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