Paper
16 June 2023 Design and implementation of a new equipment startup management system for power grid
Yi Zhang, Feng Zhang, Yutao Qiu, Xudong Yao, Ang Liu, Jianguo Mo, Xiahui Xie
Author Affiliations +
Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127020N (2023) https://doi.org/10.1117/12.2679685
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China
Abstract
With the expansion of the scale of the power grid, the types and quantities of new equipment put into operation continue to increase. It is necessary to develop an intelligent, standardized and universal operation management system to meet the development needs of the large power grid and ensure safe and stable operation objectives. Therefore, a smart grid new equipment startup management system is proposed. The intelligent dispatching platform adopts the B/S architecture system, intelligently obtains various data, analyzes the operation types of new equipment startup and the characteristics of the startup scheme, intelligently forms the new equipment startup operation scheme, and completes the preparation, review and verification functions through the system, thus building an intelligent management system for the startup of new equipment in the power grid. The practice shows that the system can significantly reduce the workload of operators, improve the risk control level of new equipment startup, and play an important role in ensuring the safe and stable operation of the power system.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Zhang, Feng Zhang, Yutao Qiu, Xudong Yao, Ang Liu, Jianguo Mo, and Xiahui Xie "Design and implementation of a new equipment startup management system for power grid", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127020N (16 June 2023); https://doi.org/10.1117/12.2679685
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KEYWORDS
Power grids

Control systems

Intelligence systems

Clouds

Data modeling

Design and modelling

Data acquisition

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