Research on automatic scheduling method of power demand response service based on cloud edge end collaboration
Addressing delays and slow response in traditional power dispatch, this study proposes cloud-edge collaboration for optimized resource allocation and improved demand response. It builds a collaboration framework, uses edge nodes for preprocessing, and employs cloud-based big data and algorithms for dispatch. Results show improved real-time response and accuracy, easing peak supply-demand issues and promoting energy efficiency.
Authors
- Weinian Ouyang
- Xiancheng Zeng (ORCID: https://orcid.org/0000-0002-5162-592X)
- Yanting Zhu
- Gaoming Li (ORCID: https://orcid.org/0000-0002-7278-0777)
- Wenjun Zhang (ORCID: https://orcid.org/0000-0001-9371-2397)
Institutions
- China Southern Power Grid (China) (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/sgei63936.2024.10914084
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00