一种基于数学形态学的电能质量信号快速定位方法

提出一种基于数学形态学的快速计算方法，进行电力系统采集数据的扰动定位。通过选择适当的结构元素，根据腐蚀和膨胀运算的特点设置适当的组合形态运算，并借鉴软阈值计算中的消噪方法，可设计高效的扰动定位算法。与以往的处理过程不同，该算法集信号消噪和扰动定位于一体，处理结果可以直接进行扰动信号的定位。给出了算法的原理分析、计算速度说明和仿真算例。该算法设计简单，计算量小，便于使用廉价的微处理器芯片实时实现。

A NEW FAST DISTURBANCE LOCATION METHOD BASED ON MATHEMATICAL MORPHOLOGY FOR POWER QUALITY SIGNAL

A new fast processing method based on mathematical morphology is proposed to locate the disturbance of the power quality signals corrupted by noises. By use of appropriate morphologic structure element, proper combination of erosion and dilation morphologic operators, a fast disturbance location method is formed, assisted by a de noise method of the soft threshold. In this way, the proposed method, which is different from the traditional processing method, can carry out the de noising and disturbance location task, and the processing results can be used to locate the disturbance directly. The theory analysis, calculation times and efficiency are given, and the validity of the proposed method is verified by the results of simulation. The proposed method is simple, fast, applicable and effective.