Research and Implementation of Operation Monitoring and Resource Scheduling Methods Based on the Digital Twin Model of the Power Grid

The digital twin model of the power grid has been widely applied in fields such as power equipment status acquisition and power equipment fault analysis. The use of digital twin models to virtual equipment status parameters provides strong model support for the acquisition and display of power equipment status. The digital twin model describes the physical entity in the power grid as digital indicators, and superimposes effective business analysis logic, making it widely provide digital services for data using departments. Similarly, the virtualization and visualization of device status parameters can also provide technical support for monitoring power operation status and scheduling power resources. This article proposes an operation monitoring and resource scheduling method based on the digital twin model of the power grid, which abstracts the status data of power grid equipment into key indicators of the digital twin model. Then, high-performance data collection and transmission technology is used to push the status data of power grid equipment and power grid operation status information to the power management department in a way that is easy to observe and edit. By adopting this approach, power managers do not need to conduct on-site surveys to monitor the operating status of electricity, and then develop resource scheduling plans to schedule electricity resources and achieve secondary distribution, providing better power supply services for electricity customers.