Open AccessElectric vehicle charging station planning method based on charging service capacity quantification and distribution grid acceptance capacity constraints
Author(s) -
Yang Yang,
Mengju Wei,
Zhao Liu,
Yongli Wang,
Yumeng Qin,
Zhen Liu,
Xin Zhou
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2237/1/012011
Subject(s) - electric vehicle , grid , constraint (computer aided design) , computer science , capacity planning , distribution grid , service (business) , charging station , genetic algorithm , automotive engineering , transport engineering , operations research , engineering , mathematics , business , mechanical engineering , power (physics) , physics , geometry , quantum mechanics , marketing , machine learning , operating system
The planning of EV charging stations that integrates the quantification of charging service capacity and distribution grid acceptance capacity constraints is of great significance for the synergistic development of EVs and distribution grids. The charging service capacity quantification of the charging network is analyzed to derive the basis for judging whether the electric vehicle traffic on the path can be captured; with the objective of minimizing the total cost of construction and operation, a charging facility planning model is established, and the distribution grid acceptance capacity constraint is set, and the genetic algorithm is used to solve the problem, and the best planning scheme for electric vehicle charging stations is finally derived.