KEYWORDS: Data modeling, Reliability, Power supplies, Network architectures, Data fusion, Sensors, Failure analysis, Meteorology, Information fusion, Device simulation
In order to understand the fault state of distribution network in time, a set of automatic early warning method for emergency repair of distribution network operation state is developed. By identifying and collecting the real-time operation status of the distribution network for emergency repair, identifying the allowable hidden dangers of the distribution network, positioning and early warning processing, and optimizing the early warning steps. Finally, the experiment shows that the automatic early warning method for the operation status of the distribution network for emergency repair has high accuracy and timeliness, and fully meets the research requirements.
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