Description: 实现主动频率偏移法的孤岛检测,利用matlab中的S-FUN编写-Frequency offset for active islanding detection method, using matlab written in S-FUN Platform: |
Size: 1024 |
Author:yuejianfang |
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Description: 实现主动频率偏移法的孤岛检测,利用matlab中的S-FUN编写-Frequency offset for active islanding detection method, using matlab written in S-FUN Platform: |
Size: 1024 |
Author:yuejianfang |
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Description: 单相逆变器并网控制和有源频率偏移孤岛检测-Single-phase inverter and network control and active islanding detection of frequency offset Platform: |
Size: 84992 |
Author:陈一帆 |
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Description: 北京交通大学硕士学位论文,主要是讲述并网变流器孤岛检测方法,对相关行业人士有参考价值-Beijing Jiaotong University, a master s degree thesis, mainly about grid inverter islanding detection methods, reference value related industry professionals Platform: |
Size: 2953216 |
Author:刘建林 |
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Description: 关于风电和光伏的外文书籍,介绍了并网,孤岛检测等内容。著名的RODRIguez博士编写,学习光伏和风能的应该听说过他。-Foreign language books on wind power and photovoltaic grid islanding detection and other content. The famous RODRIguez prepared by Dr. learning photovoltaic and wind energy should have heard of him. Platform: |
Size: 27068416 |
Author:吴冠帅 |
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Description: 基于小波变换的孤岛检测方法,真的很不错的~~对于研究孤岛检测的人来说是福音-Islanding detection method based on wavelet transform, really good ~ islanding detection for people who study the gospel! ! Platform: |
Size: 470016 |
Author:wxj |
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Description: 基于电压正反馈的逆变器并网孤岛检测技术,simulink仿真有较好的介绍,是学习孤岛检测的好资料。-Based on the positive feedback voltage inverter grid islanding detection technology, for a better introduction to simulink simulation.Islanding detection is learning good information. Platform: |
Size: 572416 |
Author:chh |
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Description: 为保障安全与电力用户供电质量,基于并网逆变器的分布式发电(distributed generation DG)系统要求具备孤岛检测功能。针对被动式孤岛检测法检测盲区(non-detectionzone,NDZ)大、检测时间长以及主动式孤岛检测法影响分布式发电系统供电质量的缺点,提出了一种新的被动式孤岛检测方法。该方法利用小波变换从公共耦合点(point ofcommon coupling,PCC)处的电压信号及逆变器输出电流信号中提取特征量,再通过BP 神经网络进行模式识别来判断是否出现孤岛现象。仿真与实验结果表明,该方法比传统的被动式孤岛检测方法检测速度快,检测盲区小。同时,由于所提供的孤岛检测法没有向控制信号中加入扰动量,因而不会对电能质量产生不良影响,克服了主动式孤岛检测方法的不足,并具有很高的准确性与可靠性。-The function of islanding detection is required for the grid-connected inverter-based distributed generation system due to safety reasons and to maintain the quality of power supply. Passive methods have a large non detection zoneand the detecting time is long, while active schemes have negative influence on power quality, so a novel passive islanding detection method was proposed. In this method, wavelet transform was adopted to extract feature vectors the voltage of point of common coupling (PCC) point and the output current of inverter, and then pattern recognition was exerted by BP neural network to determine whether there was an island phenomenon. The simulation and experiment results show that this method is faster than the traditional passive methods in islanding detection, and the non-detection zone is smaller. At the same time, because no disturbance was added to the control signal in the method, there isn’t a negative impact on power quality. The method overcomes the shortco Platform: |
Size: 609280 |
Author:kiel |
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