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

Yangtian Ning; Sheng Yang; Jinming Liu

doi:10.1117/12.3045108

9 October 2024 Virtual practical training method of electric power dispatcher by integrating knowledge transfer and multitask learning

Yangtian Ning, Sheng Yang, Jinming Liu

Author Affiliations +

Proceedings Volume 13288, Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024); 132881C (2024) https://doi.org/10.1117/12.3045108
Event: Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024), 2024, Chengdu, China

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%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yangtian Ning, Sheng Yang, and Jinming Liu "Virtual practical training method of electric power dispatcher by integrating knowledge transfer and multitask learning", Proc. SPIE 13288, Fourth International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2024), 132881C (9 October 2024); https://doi.org/10.1117/12.3045108

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available