基于短时网格分形维数的电能质量扰动检测

Detection of power quality disturbances based on short-duration grille fractal dimension

随着微处理器和电力电子等智能器件越来越多地在工业过程控制中的应用 ,诸如电压上升、电压下降等电能质量扰动问题已成为近年来各方面关注的焦点。对电能质量进行有效地分析和检测不仅必要而且十分迫切。为此提出用短时网格分形维数来检测电能质量扰动 ,并给出了短时网格分形维数的计算方法。仿真结果表明 ,该方法能准确有效地检测到电能质量扰动 ,并能精确地确定电能质量扰动的发生。

With the wide application of microprocessor power electronic devices in industry control,the power quality disturbances problems such as voltage swell and voltage sag become more concerned.It is very necessary to analyze and detect power quality disturbances.Therefore,the paper presents the approach based on short duration grille fractal dimension,and its computation.The results of simulation verify that the approach may detect power quality disturbances accurately.