Research on intelligent transformation of power grid based on artificial intelligence algorithm
The new generation of information technology, represented by artificial intelligence, 5G, big data, etc., has widely empowered all walks of life. The "carbon peak" and "carbon neutrality" of power are promoting the green transformation and upgrading of the industry, and are promoting the development of the power grid to a smarter, more ubiquitous and more friendly energy Internet. The power network is complex, the facilities and equipment are complex, the number of customer groups is huge, and the value of power big data has not been fully released, so it is urgent to introduce digital means to promote business transformation. The digital power business is in the ascendant, and it is urgent to rely on the resource advantages of the main business of the power grid to expand and strengthen the industrialization of digital business, open up new blue oceans, and cultivate new kinetic energy. However, at present, artificial intelligence has not been effectively practiced in many business scenarios of power enterprises, and its role in business operation, management, and service has not been significantly highlighted. At the same time, it is also seen that the proportion of artificial intelligence applications in many fields such as intelligent substations, intelligent production safety management and control, and data empowerment is generally low. Therefore, it is necessary to explore artificial intelligence to help the digital transformation of Liaoning power grid, which can not only effectively accelerate the transformation and development of power grid construction and ensure the safety of power operation, but also comprehensively promote the rapid development and progress of the power field.
Authors
- Zhuohang Wu
- Fengxi Gao (ORCID: https://orcid.org/0009-0006-6682-010X)
- Qixiang Wang
- Mingxuan Lu (ORCID: https://orcid.org/0000-0003-0284-2327)
- Xing He (ORCID: https://orcid.org/0000-0002-2527-7423)
- Yi Liang (ORCID: https://orcid.org/0000-0001-6325-5906)
- Zhentao Han
Institutions
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1117/12.3049399
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00