Virtual practical training method of electric power dispatcher by integrating knowledge transfer and multitask learning

From the perspective of adapting to the demand of power dispatching, it is extremely necessary to improve the training effect of power dispatchers. Therefore, a virtual training method for power dispatchers based on knowledge transfer and multi task learning is proposed. After analyzing the characteristics of the specific composition of the power transmission and transformation environment, taking each sequence network as the basic unit, a separate power flow characteristic analysis is carried out by means of multi task learning, and the three-phase power flow state information of the power transmission network is determined through the change law of the phase sequence, and the 3D model of the power dispatcher training scene is constructed by means of knowledge transfer, This is the implementation carrier of power dispatcher virtual training. In the test results, under the design of virtual training methods, the accuracy rate of the trainees' implementation of business skills in each major business scenario in the simulation training process is higher than 95%.

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Publication Details

Published
2024-10-09
DOI
https://doi.org/10.1117/12.3045108
Primary Topic
Advanced Sensor and Control Systems
Type
article
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article

Virtual practical training method of electric power dispatcher by integrating knowledge transfer and multitask learning

Jinming Liu, Yangtian Ning, Sheng Yang
Advanced Sensor and Control Systems
article

Virtual practical training method of electric power dispatcher by integrating knowledge transfer and multitask learning

Jinming Liu, Yangtian Ning, Sheng Yang
article en

Abstract

From the perspective of adapting to the demand of power dispatching, it is extremely necessary to improve the training effect of power dispatchers. Therefore, a virtual training method for power dispatchers based on knowledge transfer and multi task learning is proposed. After analyzing the characteristics of the specific composition of the power transmission and transformation environment, taking each sequence network as the basic unit, a separate power flow characteristic analysis is carried out by means of multi task learning, and the three-phase power flow state information of the power transmission network is determined through the change law of the phase sequence, and the 3D model of the power dispatcher training scene is constructed by means of knowledge transfer, This is the implementation carrier of power dispatcher virtual training. In the test results, under the design of virtual training methods, the accuracy rate of the trainees' implementation of business skills in each major business scenario in the simulation training process is higher than 95%.

Openalex Percentile: Top 80%
Advanced Sensor and Control Systems
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