【摘要】 为了及时对电力系统故障进行修复，设计了基于拓扑图动力学模型的电力系统故障自动化检测系统。所提系统以DSP为核心设计数据采集器，连接电力系统零序电流传感器采集实时电流。通过模数转换模块将电流信号数字化，并由ARM处理器存储和传输数据。故障诊断单元利用拓扑动力学模型生成电力系统拓扑图，并基于此建立多种故障检测模型，对输入的电流数据进行分析，识别不同类型的电力系统故障。实验结果表明，所提方法在小型、中型、大型配电网中的故障检测率均不低于90%，远高于其他方法。所提系统具备较为准确的电力系统电流信号模数转换能力，同时可有效生成电力系统拓扑图，并可自动化检测出当前电力系统不同故障类型，能够为电力系统的安全稳定运行提供有力保障。更多还原

【Abstract】 In order to repair power system faults in time,an automatic fault detection system of power system based on topological graph dynamic model is designed. The proposed system takes DSP as the core to design a data collector,which is connected with the zero-sequence current sensor of power system to collect real-time current. The current signal is digitized by the analog to digital conversion module,and the data is stored and transmitted by the ARM processor. The fault diagnosis unit uses the topological dynamics model to generate the power system topology diagram,and based on this,it establishes a variety of fault detection models,analyzes the input current data,and identifies different types of power system faults. Experiments show that the fault detection rate of the proposed method is 90% in small,medium and large distribution networks,which is much higher than other methods. The proposed system has more accurate analog to digital conversion ability of power system current signal,and can effectively generate power system topology diagram,and can automatically detect different fault types of current power system,which can provide a strong guarantee for the safe and stable operation of power system.更多还原