Available Capacity Analysis and Business Expansion Decision Method Based on Distribution Network Edge Agent
To fully leverage the advantages of distribution network edge computing and enhance the refined operation and management of distribution networks aimed at the problems of rough calculation of distribution network available capacity, relying on manual experience and not effectively using data enabling decision‐making, a distribution network available capacity calculation and optimization decision‐making method of distribution network expansion based on distribution network edge agent is proposed. First, considering the seasonal and daily load characteristics, the distribution network edge feeder partition and the public transformer available capacity are calculated based on the depth‐first traversal method, which includes seasonal and daily time series characteristics. Second, considering multiple objectives such as the matching of available capacity and load curve, load balancing, and three‐phase balance of station area, the optimal decision model of service expansion and installation is established, and the refined load optimal access scheme is obtained at two levels from the feeder area to the station area. Finally, an IEEE standard power distribution system and a real power distribution network are used to verify the efficiency of the proposed available capacity calculation method. The proposed service expansion decision method can effectively apply the available capacity analysis results to obtain a refined load access scheme that takes into account multiple objectives.
Authors
- Ning Guo (ORCID: https://orcid.org/0000-0002-5515-9911)
- Tuo Ji (ORCID: https://orcid.org/0000-0001-5481-098X)
- Xiaolong Xiao
- Xinyi Zheng (ORCID: https://orcid.org/0009-0009-2028-8594)
- Shufeng Dong (ORCID: https://orcid.org/0000-0003-2924-4554)
- Zhitong Xue
- Jinming Chen (ORCID: https://orcid.org/0000-0002-3425-5939)
- Xiaoxing Lu
Institutions
- Electric Power Research Institute (US)
- Shanghai Electric (China) (CN)
- Zhejiang University of Technology (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Journal of Electrical and Computer Engineering
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1155/jece/8862201
- Citations
- 1
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- State Grid Jiangsu Electric Power