基于多源信息融合的新型电力系统短路故障自动定位研究

Research on New Power System Short-Circuit Fault Automatic Localization Based on Multi-Source Information Fusion

传统的短路故障定位方法通常对获取的短路故障特征量处理较单一,导致短路故障自动定位精度低,为此,研究基于多源信息融合的新型电力系统短路故障自动定位。首先,利用多源信息融合获取短路故障特征量,得到更详细的短路故障数据;其次,设置线路监测点,实时监测新型电力系统的运行状态,当监测到短路故障时,需确定短路故障区间;最后,进行短路故障点测距定位,实现新型电力系统短路故障自动定位。结果表明,与红外热像仪法和数字测量仪法相比,基于多源信息融合的新型电力系统短路故障自动定位方法在定位短路故障时,定位精度更高,具有实际的应用价值。

Traditional methods for locating short-circuit faults often have limited processing of the obtained short-circuit fault characteristics,resulting in low accuracy in automatic short-circuit fault localization.Therefore,a new type of automatic short-circuit fault localization in power systems based on multi-source information fusion is studied.Firstly,utilizing multi-source information fusion to obtain short-circuit fault characteristics and obtain more detailed short-circuit fault data.Secondly,set up line monitoring points to monitor the operation status of the new power system in real time.When a short-circuit fault is detected,determine the range of the short circuit fault.Finally,distance measurement and positioning of short-circuit fault points are carried out to achieve automatic positioning of short-circuit faults in the new power system.The results show that compared with the infrared thermal imaging method and the digital measurement method,the new power system short-circuit fault automatic positioning method based on multi-source information fusion has higher positioning accuracy and practical application value in locating short-circuit faults.