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面向波浪能发电的电能质量扰动检测

Wave Power Generation-oriented Power Quality Disturbance Detection
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摘要 为了对波浪能发电的电能质量扰动进行有效检测,在传统经验小波变换(EWT)的基础上,提出了改进EWT(IEWT),解决了传统EWT的频谱区间易错分、最高频带划分不合理的缺点,提高了在噪声干扰下有效极大值点及高频分量的检测精度。此外,进一步引入了希尔伯特变换(HT),实现了并网汇流侧电能质量复合扰动的幅值、频率、扰动起止时刻等信号参数的有效提取。实验结果验证了所提算法的有效性。 To detect power quality disturbance of wave energy generation,based on the traditional empirical wavelet transform(EWT),an improved EWT(IEWT) is proposed.It solves the shortcomings of traditional EWT that the spectrum interval is prone to misclassification and the partition of highest frequency band is unreasonable which improves the detection accuracy of the effective maximum points and high frequency component under the noise interference.Furthermore,Hilbert transform(HT) is introduced to realize the effective extraction of signal parameters such as amplitude,frequency,start and end time of the complex disturbance at the junction side of the connected grid.Experimental results verify the effectiveness of the proposed algorithm.
作者 于芃 孙树敏 程艳 王士柏 YU Peng;SUN Shu-min;CHENG Yan;WANG Shi-bai(State Grid Shandong Electric Power Research Institute,Jinan 250002,China)
出处 《电力电子技术》 北大核心 2023年第2期89-91,共3页 Power Electronics
基金 国家电网公司科技项目(5400-201916148A-0-0-00)。
关键词 电能质量 波浪能发电 改进经验小波变换 power quality wave energy generation improved empirical wavelet transform
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