一种基于特征电流信号检测的低压台区拓扑识别方法

Study on a Low-voltage Platform Topology Recognition Method Based on Feature Signal Detection

阐述一种基于特征电流信号检测的低压台区拓扑识别方法,前处理采用正交矢量锁定放大器的方法提取特征频率的弱信号幅值;为进一步提高抗扰性,后处理采用频率合并、滑动窗检测、同步、解调等方法解码。仿真和现场结果表明,相比传统FFT方法,计算量和功耗大幅降低,便于在智能断路器、集中器等设备上实现。

This paper describes a low-voltage station topology identification method for characteristic current signal detection. The pre-processing adopts the method of orthogonal vector locking amplifier to extract the weak signal amplitude of characteristic frequency;To further improve the immunity,The post-processing adopts frequency combination, sliding window detection, synchronization,demodulation and other methods to decode. Simulation and field results show that compared with the traditional FFT method, the amount of calculation and power consumption are greatly reduced, which is easy to be realized on intelligent circuit breaker, concentrator and other equipment.