An intelligent terminal based on power grid big data collection

Abstract

The application discloses an intelligent terminal based on power grid big data collection, and relates to the technical field of power information collection.The intelligent terminal comprises a digital twin construction module, a task configuration module and a scheduling optimization module.The digital twin construction module is used for constructing a power grid state digital mapping model based on the topological structure, equipment parameters and historical operation data of the power grid.The task configuration module is used for taking state variables with high information entropy as key collection objects, matching probe actions for each key collection object from a probe action library, and instantiating a collection task candidate queue.The scheduling optimization module is used for jointly optimizing the collection task candidate queue based on a resource state vector under the condition of meeting communication, calculation and energy resource constraints, screening out an executable task subset, and assigning a data processing and transmission strategy to generate a collection action instruction.The application realizes quantitative characterization of power grid operation uncertainty distribution, and improves collection directivity and information utilization efficiency.

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