The application belongs to the technical field of power dispatching management, and provides a power dispatching
system based on a cloud platform, in order to solve the problem of low technical accuracy of power dispatching in traditional technologies, the
system provides global and high-credibility decision basis for abnormal identification by fusing five
layers of data of physical entities, control execution, model algorithms,
business management and
system operation and maintenance based on the cloud platform; through the layered diagnosis logic of 'wisdom first, then
physics', the reliability of data and models is verified first, ensuring the accuracy of subsequent decision input; after confirming the
abnormality of the
physical system, the digital twin model is used for
hypothesis simulation and abnormal propagation chain construction, realizing accurate positioning from
abnormal appearance to physical
root cause equipment; finally, alarm information is generated based on the
traceability result, which can significantly improve the accuracy and reliability of abnormal monitoring of the power dispatching system, and ensure the accuracy and efficiency, intelligence and
automation of power supply dispatching and control.