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The deviations that occur in electrical power supplied by utilities to consumers are termed as power quality disturbances. Due to power quality disturbances, a change is evident for a short duration in voltage, current or frequency. Signal processing techniques can be used to obtain information from the disturbance signals. Wavelet analysis, an important signal processing tool, is used for analysis of power quality disturbance signals which include sag, swell, harmonics, transients and flicker. Discrete wavelet transform is applied for the signals and are decomposed for different levels. Approximations and details represent low and high frequency components of the original signal. Different statistical features are extracted and values are calculated and information obtained can be used as features to describe the signals. [ABSTRACT FROM AUTHOR]