Improved Active Islanding Detection Technique with Different Current Injection Waveform

Author:

Zhang Shaoru123,Wang Lijun4,Du Xiuju13,Zhang Ruiye1,Huang Zhanping1,Duan Shuchun5,Yang Wenxiu1,Wang Pingjun1,Zhang Jielu3

Affiliation:

1. College of Engineering, Hebei Normal University, Shijiazhuang 050024, China

2. Hebei Provincial Key Laboratory of Information Fusion and Intelligent Control, Shijiazhuang 050024, China

3. Jiangsu Tailong Reducer Co., Ltd., Taizhou 225400, China

4. Shijiazhuang Road & Bridge Facilities Management Center, Shijiazhuang 050024, China

5. Hebei Construction & Investment Group New-Energy Co., Ltd., Shijiazhuang 050024, China

Abstract

The active frequency drift (AFD) method is an effective method to detect islanding in grid-connected photovoltaic systems. However, it has some inherent drawbacks, such as generating higher harmonics. In order to reduce the harmonics and non-detection zone (NDZ), various improved AFD methods have been proposed, but they still suffer from high harmonics and reduced detection speed. To overcome these limitations, this paper proposes an innovative islanding detection technique based on AFD. Analysis reveals that the proposed method reduces harmonics by 68% compared to conventional AFD and has a larger chopping factor. Therefore, this technique offers several distinct advantages, including accelerated detection speed, reduced NDZ and harm caused by disturbances, and improved power quality. Furthermore, to verify the harmonic impact of this proposed islanding detection method, simulations and analyses are conducted using simulation software of Matlab/Simulink. An experimental prototype is set up in Laboratory. The simulation and experimental results demonstrate the superiority of the proposed method.

Funder

S&T Program of Hebei

Open Project of Provincial Collaborative Innovation Center of Industrial Energy-saving and Power Quality Control, Anhui Province

Science Foundation of Hebei Normal University

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3