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基于小波变换的光伏阵列故障检测
发表时间：2017-09-30 浏览量：1713 下载量：532
| 全部作者： | 吴延霞，李田泽，李云婧 |
| 作者单位： | 山东理工大学电气与电子工程学院 |
| 摘 要： | 分析光伏阵列的工作原理和故障形成原因，总结故障对其输出特性的影响，并提出基于小波变换的光伏阵列故障检测方法，利用小波变换分析信号的奇异性判断是否有故障产生。首先，对阵列输出电压采样滤波；然后，选取合适的小波基和分解尺度，对采样信号进行小波消噪和多尺度分解；最后，判断小波分解在各尺度上是否存在模极大值，以实现其故障检测。通过Matlab仿真，对所提的故障检测方法进行验证，结果验证了其正确性。 |
| 关 键 词： | 太阳能；光伏阵列故障；小波分析；奇异性；突变点 |
| Title： | Fault detection of photovoltaic array based on wavelet transform |
| Author： | WU Yanxia, LI Tianze, LI Yunjing |
| Organization： | College of Electrical and Electronic Engineering, Shandong University of Technology |
| Abstract： | This paper analyzes the working principle and the forming reason of main faults of photovoltaic array as well as the influence of the faults on the output characteristics of photovoltaic array. A fault detection method based on the wavelet transform is proposed, and the singularity of the signal is analyzed by wavelet transform to judge whether there is a fault. First, we sample and filter the array output voltage. Then, we select the appropriate wavelet base and decomposition scale to denoise and decompose the sampling signal wavelet on a multi scale. Finally, we determine whether there is a modulus maximum during the wavelet decomposition at all scales to achieve its fault detection. The simulation method is validated by Matlab simulation. The simulation results verify the correctness of the proposed method. |
| Key words： | solar energy; photovoltaic array fault; wavelet analysis; singularity; abrupt change point |
| 发表期数： | 2017年9月第18期 |
| 引用格式： | 吴延霞，李田泽，李云婧. 基于小波变换的光伏阵列故障检测[J]. 中国科技论文在线精品论文，2017，10（18）：2036-2041. |
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