基于深度学习的通流升压试验辅助系统设计

Design of an Auxiliary System for Injecting Current and Applying Voltage Based on Deep Learning

针对变电站通流升压试验工作周期长、数据测试内容局限的问题,提出一款通流升压试验辅助软件。基于深度学习技术,解析变电站一次主接线图、二次回路原理图,获取识别元件、参数,生成模拟链路,再通过软件系统输入加压、注流位置、幅值及二次接线方式等数据信息,自动生成互感器各二次回路的电压、电流正确幅值及相位,通过计算数据验证测试数据内容正确性,从而得知二次回路是否存在问题。

Aiming at the problems of long working cycle and limited data test content of injecting current and applying voltage test in substation,an auxiliary software for injecting current and applying voltage test is proposed.Based on deep learning technology,the primary main wiring diagram and secondary circuit schematic diagram of the substation are analyzed.Then,the identification elements and parameters are obtained and the simulation link is generated.The correct amplitude and phase of each secondary circuit of the transformer are automatically generated.The correctness of the test data is verified by calculating the data,so as to know whether there is any problem in the two loop.