小波检测双电源自动转换开关电压凹陷策略  

Voltage Sag Policy of Wavelet Detection of Dual Power Automatic Transfer Switch

作　　者：周彬倩[1] 陆继明[1] 毛承雄[1] 王丹[1] 邱军[2] 段余平[2] 

机构地区：[1]华中科技大学强电磁工程与新技术国家重点实验室,武汉430074 [2]武汉钢铁股份有限公司能源动力总厂,武汉430082

出　　处：《电力系统及其自动化学报》2015年第3期5-10,41,共7页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金项目(51277083);国家自然科学基金项目(51361130151)

摘　　要：故障检测在双电源自动转换开关中至关重要,小波变换模的极值点对应信号突变点,有很强的提取信号特征的能力。选取合适的小波函数及分解层数,提取小波系数的模极大值作为判断电源电压发生跌落依据,进行电源投切。利用Matlab/Simulink建立双电源自动转换开关模型,考虑理想环境与白噪声环境,分别采用小波分析、傅氏算法和两点法检测电压跌落故障。仿真实验结果表明,与传统检测方法相比,小波分析提高了检测的快速性、可靠性以及抗干扰性。Fault detection is crucial in a dual power automatic transfer switch and wavelet transform modulus signal corresponding to the extreme point mutations,it has a strong ability to extract the signal characteristics. This paper selects the appropriate wavelet function and the decomposition layer,extracts the wavelet coefficient maximum modulus value to be the basis of judging supply voltage drop and to operate power switching. This paper builds dual power automatic transfer switch models with Matlab/Simulink software,and adopts wavelet analysis,Fourier algorithm and two-point method to detect voltage drop failures considering both ideal environment and white noise environment.Simulation results show that compared with traditional methods the wavelet analysis improve the speed,reliability and immunity of detection.

关 键 词：自动切换开关 小波变换 极值点 仿真 检测速度 抗干扰性 

分 类 号：TM564[电气工程—电器]