|本期目录/Table of Contents|

[1]周皓,李维刚,童朝南,等.WT-ANFIS 在孤岛检测中的应用研究[J].电机与控制学报,2016,20(01):35-42.[doi:10. 15938 / j. emc. 2016. 01. 006]
 ZHOU Hao,LI Wei-gang,TONG Chao-nan,et al. Applied research of WT-ANFIS in islanding detection [J].,2016,20(01):35-42.[doi:10. 15938 / j. emc. 2016. 01. 006]
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WT-ANFIS 在孤岛检测中的应用研究(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
20
期数:
2016年01
页码:
35-42
栏目:
出版日期:
2016-01-01

文章信息/Info

Title:
 Applied research of WT-ANFIS in islanding detection
作者:
 周皓13 李维刚2 童朝南1 李伟力3 茆美琴4
 ( 1. 北京科技大学 自动化学院,北京 100083; 2. 武汉科技大学 信息科学与工程学院,湖北 武汉 430081; 3.北京交通大学 电气工程学院,北京 100044; 4.合肥工业大学 教育部光伏系统工程中心,安徽 合肥 230009)
Author(s):
 ZHOU Hao13 LI Wei-gang2 TONG Chao-nan1 LI Wei-li3 MAO Mei-qin4
1. School of Automation & Electronic Engineer,University of Science and Technology Beijing,Beijing 100083,China; 2. College of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China; 3. School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China; ,China)4. Research Center for PV System Engineering Ministry of Education,Hefei University of Technology,Hefei 230009
关键词:
孤岛检测 小波变换 模糊神经网络 细节信号 特征向量
Keywords:
islanding detection wavelet transform ( WT) adaptive network based fuzzy inference system ( ANFIS) detail signals characteristic vectors
分类号:
TM 615
DOI:
10. 15938 / j. emc. 2016. 01. 006
文献标志码:
A
摘要:
针对传统被动式孤岛检测法存在检测时间长、盲区大,而主动式孤岛检测法影响电能质量 的缺点,提出一种新的基于模糊神经网络与小波变换的孤岛检测方法。该方法首先采集逆变器输 出的电流信号和公共耦合点处的电压信号,再将该电流信号和电压信号分别进行小波变换,然后通 过对各尺度上的细节信号进行算法处理来获取适合于孤岛检测的特征向量,最后该特征向量通过 模糊神经网络进行模式识别来判断系统是否发生孤岛现象。仿真与实验结果表明,该方法在并网 逆变器功率与本地负载功率匹配及失配的多种条件下均能有效识别,具有检测速度快,盲区小,对 电能质量无影响等优点,并且适合于单相、三相光伏并网系统。

Abstract:
The detecting time is long and non-detection zone ( NDZ) is large for traditional passive islan-ding detection methods,while active methods have some negative effects on power quality. A novel islan-ding detection method was proposed based on wavelet transform ( WT) and adaptive network based fuzzy inference system ( ANFIS) . Firstly,output current of inverter and the voltage of point of common cou-pling ( PCC) were gathered,and then WT was adopted to analyze the current signal and the voltage sig-nal. Secondly,the detail signals on all levels were used to extract characteristic vectors. Lastly,ANFIS used these characteristic vectors to pattern recognition and determine whether there was an island phe-nomenon. The simulation and experiment results show that the proposed method has the advantages that detecting time is short and non-detection zone ( NDZ) is small and effectively identify all kinds of load conditions such as the power of grid-connected inverter match and mismatch the one of local loads,and can be used for single-phase and three-phases photovoltaic grid-connected system.

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备注/Memo

备注/Memo:
收稿日期: 2014 - 07 - 16
基金项目: 国家自然科学基金( 51205018)
作者简介: 周 皓( 1978 —) ,男,博士,研究方向为光伏并网发电技术,光伏储能技术;
李维刚( 1977 —) ,男,博士,高级工程师,研究方向为工业过程控制,复杂系统仿真与建模; 
童朝南( 1955 —) ,男,教授,博士生导师,研究方向为生产过程控制、自动化技术及计算机仿真、大型过程控制系统集成;
李伟力( 1962 —) ,男,博士,教授,博士生导师,研究方向为新型清洁能源机电转换装备研究,特种电机理论与控制研究;
茆美琴( 1961 —) ,女,教授,博士生导师,研究方向为电力电子技术在可再生能源发电系统中的应用。
更新日期/Last Update: 2016-03-21