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作 者:周治国[1] 靳绮颖 张逸 林焱 熊军 ZHOU Zhiguo;JIN Qiying;ZHANG Yi;LIN Yan;XIONG Jun(School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China;Electric Power Research Institute,State Grid Fujian Electric Power Company,Fuzhou 350007,China;State Grid Xiamen Power Supply Company,Xiamen 361000,China)
机构地区:[1]北京理工大学信息与电子学院,北京100081 [2]国网福建省电力有限公司电力科学研究院,福州350007 [3]国网厦门供电公司,厦门361000
出 处:《电力系统及其自动化学报》2018年第3期55-61,97,共8页Proceedings of the CSU-EPSA
基 金:国网福建省电力有限公司科技项目"大容量柔性直流输电工程关键技术专题研究-2"(521304150010)
摘 要:电压源换流器交、直流侧易受外界干扰产生各类故障,这些故障的暂、稳态信息不易于区分和识别。目前多数研究面向离线仿真而实时检测难以兼顾。本文针对上述问题,提出了PC+FPGA架构的故障检测平台,运用Mallat分解得到的高频小波系数和低频尺度系数作为区分暂态与稳态的判据。针对稳态信号,提出改进型快速傅里叶变换FFT算法进行谐波分析。针对暂态信号,采用模极大值点求出扰动持续时间,模极大值作为判断故障是否发生的阈值,高频小波系数进行小波熵计算,判断故障发生的相。实验结果表明,该平台可判断交、直流故障,识别故障线路,具有较高准确度。The AC and DC sides of voltage source converter are vulnerable to external interference,which results in various types of fault.In addition,the transient and steady state information of these faults are not easy to distinguish or identify.At present,most researches in this filed are based on off-line simulation,which is difficult to be combined with real-time detection.To solve this problem,a fault detection platform based on PC+FPGA architecture is proposed in this paper.The high-frequency wavelet coefficients and low-frequency scale coefficients obtained by Mallat decomposition are used as criteria to distinguish between the transient and steady states.According to the steady state signal,an improved fast Fourier transform(FFT)algorithm is proposed for harmonic analysis.According to the transient signal,disturbance duration is obtained by using the modulus maximum point,and the modulus maximum value is adopted as a threshold to judge whether a fault occurs.Moreover,high-frequency wavelet coefficients are calculated by wavelet entropy to judge the fault phase.Experimental results show that the proposed platform can be used to determine the AC and DC faults,and identify fault lines with high accuracy.
分 类 号:TM721.1[电气工程—电力系统及自动化]
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