Available Capacity Analysis and Business Expansion Decision Method Based
on Distribution Network Edge
- Tuo Ji,
- Ning Guo,
- Shufeng Dong,
- Xiaolong Xiao,
- Xinyi Zheng,
- Xiaoxing Lu,
- Jinming Chen,
- Zhitong Xue
Tuo Ji
State Grid Jiangsu Electric Power Co Ltd Research Institute
Author ProfileNing Guo
State Grid Jiangsu Electric Power Co Ltd Research Institute
Author ProfileXiaoxing Lu
State Grid Jiangsu Electric Power Co Ltd Research Institute
Author ProfileJinming Chen
State Grid Jiangsu Electric Power Co Ltd Research Institute
Author ProfileZhitong Xue
State Grid Jiangsu Electric Power Co Ltd Research Institute
Author ProfileAbstract
In order to give full play to the advantages of distribution network
edge computing and improve the level of fine operation and management of
distribution network, aiming at the problems of rough calculation of
distribution network open capacity, relying on manual experience and not
effectively using data enabling decision-making, a distribution network
open capacity calculation and opti-mization decision-making method of
distribution network expansion based on distribution network edge
division is proposed. Firstly, considering the seasonal and daily load
characteristics, the dis-tribution network edge feeder division and the
common variable open capacity are calculated based on the depth-first
traversal method, which includes seasonal and daily time series
characteristics. Secondly, considering multiple objectives such as the
matching of open capacity and load curve, load balancing, and
three-phase balance of station area, the optimal decision model of
service ex-pansion and installation is established, and the refined load
optimal access scheme is obtained at two levels from feeder area to
station area. Finally, an IEEE standard power distribution system and a
real power distribution network are used to verify the efficiency of the
proposed open capacity calculation method. The proposed service
expansion decision method can effectively apply the open capacity
analysis results to obtain a refined load access scheme that takes into
account multiple objectives.