【摘要】 电能质量扰动问题近年来已经成为众多领域关注的焦点,国内外学者提出了一系列对电能质量扰动进行分析的方法。介绍几种常用的电能质量扰动检测和识别方法,重点分析了基于小波变换以及小波变换与其他方法如时域分析法、d-q变换、人工神经网络等相结合的电能质量扰动识别方法,比较了各种方法的特点,指出了该领域研究发展的前景。更多还原

【Abstract】 In recent years,power quality disturbance has been concerned in many fields.Many me -thods to analyze this proble m have been put forward now.Several approaches commonly used to detect and identify the disturbances are presented.The wavelet-transform-based methods and its combination with other arithmetic,such as time-domain analysis,d-q conversion,artificial neural net-work etc.,are focused on.The performance comparisons are made among these approaches,including merits and defects.The study prospect of power quality disturbance detection and identification is given.更多还原