A dispatching data network simulation training system and method

Abstract

The present disclosure provides a scheduling data network simulation training system and method, including a mirror energy management module, a scheduling training simulation module, a functional sub-area module, an evaluation module, a cloud server and multiple clients, and the mirror energy management module is used to transfer energy The management system collects grid graphs, configurations, models, databases, real-time data and real-time operation instructions synchronously and sends them to the dispatching training simulation module, and transmits real-time mapping to the functional sub-area module. The dispatching training simulation module generates power grid data based on real-time collection. Training lesson plans and send operation instructions to the client, the evaluation module compares the simulated operation with the real operation, gives the client operation evaluation results, conducts training through real-time power grid data, and compares the operation of the trainers with the actual operation of the operator The comparison enables the trainers to discover the shortcomings and deficiencies of their own operations through the comparison, which greatly improves the simulation training effect of the dispatching data network.

Description

technical field [0001] The disclosure relates to a dispatching data network simulation training system and method. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] The existing power dispatching data network involves rich technical content, huge structure, and a large number of information equipment, which poses a high challenge to the theory and skills of personnel engaged in the operation and maintenance of this work, but currently lacks a training system for corresponding personnel At the same time, most of the current training systems are trained through offline training tools, which cannot provide intuitive training effects to trainers, and cannot conduct power grid dispatching training based on real-time power grid changes and fault conditions, nor can it be compared with real The disadvantages and differences of the operation inst...

AI Technical Summary

Problems solved by technology

[0003] The existing power dispatching data network involves rich technical content, huge structure, and a large number of information equipment, which poses a high challenge to the theory and skills of personnel engaged in the operation and maintenance of this work, but currently lacks a training system for corresponding personnel At the same time, most of the current training systems are trained through offline training tools, which cannot give trainers an intuitive training effect, and cannot conduct power grid scheduling training based on real-time power grid changes and fault conditions, nor can it be compared with real Compare the power grid dispatching situation to judge the shortcomings and differences of the operation instructions in the training

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