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11 December 2024 Constructing and optimizing a digital intelligent power grid synchronous platform integrating big data and artificial intelligence
Xudong Liu, Jinzhu Cui, Qiubo Ma, Chengbi Xia, Xin Tang
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Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 134451E (2024) https://doi.org/10.1117/12.3054961
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China
Abstract
With the continuous growth of power demand and the increasingly complex operating environment of power grid, the traditional power grid management model has been difficult to meet the needs of modern management. Therefore, by integrating big data technology and AI (artificial intelligence) algorithm, this study aims to build a high-performance and intelligent power grid management platform, namely, DIPGVRSP (Digital Intelligent Power Grid Virtual-Real Synchronous Platform). During the construction of DIPGVRSP, a layered architecture design is adopted, including data acquisition layer, data processing layer, data analysis layer and application layer. In order to further optimize the performance and efficiency of DIPGVRSP, this study puts forward a number of strategies, including data processing efficiency optimization, intelligent scheduling and optimization, and security and reliability improvement. By introducing parallel processing and distributed computing technology, the data processing speed is significantly improved. At the same time, based on historical data and machine learning model, a predictive scheduling algorithm is developed to realize intelligent scheduling and optimization of power grid. The experimental verification shows that DIPGVRSP based on LSTM has achieved high accuracy in power grid load forecasting, and the forecasting performance is improved by about 20% compared with the traditional linear regression model. This result not only verifies the effectiveness of DIPGVRSP, but also provides strong support for the further popularization and application of digital intelligent power grid technology.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Xudong Liu, Jinzhu Cui, Qiubo Ma, Chengbi Xia, and Xin Tang "Constructing and optimizing a digital intelligent power grid synchronous platform integrating big data and artificial intelligence", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 134451E (11 December 2024); https://doi.org/10.1117/12.3054961
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KEYWORDS
Power grids
Data processing
Data modeling
Data acquisition
Data storage
Artificial intelligence
Distributed computing
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