基于电压暂降监测数据的敏感负荷非侵入式识别方法

针对电压暂降治理时难以准确获取用户敏感设备参数和生产过程结构的问题，提出一种基于电压暂降监测数据识别敏感负荷的方法。对发生电压暂降时的电压和电流进行离散小波变换，计算有功功率轨迹；通过奇异值分解分段法识别轨迹过渡段起始点，获得轨迹特征及其与负荷电压暂降响应的关系；结合典型敏感设备电压耐受曲线，对暂降及负荷响应事件进行分组；再根据记录数据计算电压暂降结束后的有功功率及其恢复比例，由此识别典型敏感负荷有功功率占比。通过Matlab/Simulink仿真证明提出方法和指标的准确性、有效性，有重要的工程意义。

A Non-invasive Identification Method for Sensitive Load Based on Voltage Sag Monitoring Data

For the problem that it is difficult to accurately obtain the user's sensitive equipment parameters and the production process structure in voltage sag mitigation, a method is proposed for identifying sensitive loads based on available voltage sag monitoring data. Discrete wavelet transform is performed on the voltage and current recorded when the voltage sag occurs to calculate the active power trajectory. The singular value decomposition method is used to identify the starting point of the transition section of the trajectory, and the characteristics of the trajectory and its relationship with the load voltage sag response are obtained. Combined with the voltage tolerance curve of sensitive equipment, the sag and load-response events are grouped. The active power and its recovery ratio after the end of the voltage sag is then calculated based on the recorded data, thereby the active power percentage of typical sensitive loads is identified. Through Matlab/Simulink simulation, the accuracy and validity of the proposed method and indexes are proved, which has obvious engineering significance.