Open AccessOrderly grid-connected cooperative scheduling control strategy based on distributed energy storage for electric vehicles
Author(s) -
Xiaomei Li,
Ruifen Cao,
Wenbo Hao,
Mingyu Xu,
Heng Kai Hu,
Peng Jiang,
Feng Zhou
Publication year - 2021
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 - 10.1088/1742-6596/2121/1/012030
Subject(s) - grid , energy storage , computer science , grid connection , distributed generation , renewable energy , weighting , scheduling (production processes) , peaking power plant , distributed computing , wind power , electrical engineering , engineering , power (physics) , operations management , medicine , physics , geometry , mathematics , quantum mechanics , radiology
Aiming at the problem that large-scale disorderly grid connection of electric vehicles negatively affects grid operation and causes a large amount of abandoned wind and abandoned light, an orderly grid connection cooperative scheduling control strategy based on distributed energy storage of electric vehicles is proposed. The strategy takes the charging and discharging price as the lever to guide the users to charge and discharge in an orderly manner, takes the optimal economics on the user side and the optimal cost of power generation on the grid side as the objective function, and uses linear weighting normalization to convert the multi-objective function into a single objective function for simulation solution. The simulation results show that the effect of peak shaving and valley filling can be achieved on the basis of satisfying users’ demand, and renewable energy can be effectively consumed.