引用本文:贺眉眉,李华强,陈 静,魏宏芬,林茂君.基于离散小波变换的分布式发电孤岛检测方法[J].电力自动化设备,2012,32(10):
HE Meimei,LI Huaqiang,CHEN Jing,WEI Hongfen,LIN Maojun.Islanding detection based on discrete wavelet transform for distributed generation[J].Electric Power Automation Equipment,2012,32(10):
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基于离散小波变换的分布式发电孤岛检测方法
贺眉眉, 李华强, 陈 静, 魏宏芬, 林茂君
四川大学 电气信息学院 智能电网四川省重点实验室,四川 成都 610065
摘要:
在被动式孤岛检测技术的基础上,提出一种新的基于离散小波变换的孤岛检测方法。根据公共连接点(PCC)逆变器侧和主网侧电能质量不相等的原理,通过对PCC处电压进行小波变换提取出孤岛发生的特征谐波高频信号,理论上通过微观变量的提取和识别可彻底消除非检测区。在MATLAB/Simulink环境下,搭建3套分布式发电系统,仿真结果验证了所提方法的正确性,并表明在电网电压波动以及各类型负荷运行、投切等扰动下,检测装置不会误动作,能够迅速检测到孤岛的发生。
关键词:  分布式发电  孤岛检测  离散小波变换  被动检测  微观变量
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Islanding detection based on discrete wavelet transform for distributed generation
HE Meimei, LI Huaqiang, CHEN Jing, WEI Hongfen, LIN Maojun
Intelligent Electric Power Grid Key Laboratory of Sichuan Province,College of Electric and Information Engineering,Sichuan University,Chengdu 610065,China
Abstract:
Based on the technology of passive islanding detection,a method of islanding detection is proposed which applies the discrete wavelet transform. According to the principle that the inverter-side power quality is unequal to the grid-side power quality at PCC,the characteristic harmonic high-frequency components of islanding can be extracted by the wavelet transform of voltages at PCC. Theoretically,the non-detection zone can be thoroughly eliminated by the extraction and identification of microscopic variables. Three types of distributed generation system are set in the environment of MATLAB/Simulink and simulative results show that,the existence of islanding is rapidly detected and the detection device functions properly under different operating conditions:voltage disturbance,different load types,load on-off switching, etc.,which verifies the correctness of the proposed method.
Key words:  distributed power generation  islanding detection  discrete wavelet transforms  passive detection  microscopic variable

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