Digital Twin Early Warning of Operational Risks in Urban Underground Distribution Networks Considering Load Characteristics

At present, the digital twin early warning node of urban underground distribution network operation risk generally adopts the range deployment form, and the coverage of early warning is small, which leads to the difficulty of the final unit early warning frequency reaching the expected standard. This paper proposes the design and practical analysis of the digital twin early warning method for urban underground distribution network operation risk considering the load characteristics. According to the current demand for early warning, data acquisition and load feature extraction shall be carried out first, the coverage of early warning shall be expanded by adopting adaptive method, and early warning adaptive monitoring nodes shall be deployed to build a digital twin early warning model of load characteristics distribution network operation risk, and the digital twin early warning of risk shall be realized by tracking identification and correction processing. The test results show that: in the selected three test areas, under the selected operating environment of light rain, moderate rain, heavy rain and rainstorm, the unit early warning frequency calculated this time can reach more than 155 Hz, which indicates that with the help of load characteristics, the designed digital twin early warning of urban underground distribution network operation risk is more effective and targeted, The efficiency of early warning has also been significantly improved.