动态负荷准稳态与动态信号的模型与分解方法

针对牵引变电站等大功率动态负荷,建立了动态负荷信号随机过程的准稳态项与动态项数学模型;然后,采用二次经验模态分解方法,在小时间尺度上,对采集的牵引变电站动态负荷电流与功率随机信号进行了分解,得到了其慢速波动的准稳态项与随机快速波动的动态项。分解结果证明了文中所提出的模型结构的正确性,同时证明了分解方法的有效性。文中所提出的方法可为建立电能表动态误差特性测试信号提供依据。

Model and Decomposition of Dynamic Load Quasi-Steady State and Dynamic State Signals

In this paper, for the high-power dynamic loads, such as traction substations, the quasi-steady state and dynamic state mathematical models of the dynamic load signal random process are first established. Then, based on the second empirical mode decomposition method, the dynamic load current and power random signals of the collected traction substation are decomposed on a small time scale. And the quasi-steady state of slow fluctuation and the dynamic state of random fast fluctuation are obtained. The decomposition results prove the correctness of the model structure and the effectiveness of the decomposition method. The method provides a basis for determining the dynamic error characteristic test signal of the energy meter.