Electric vehicles as distributed energy storage for local energy management

2019 ◽  
pp. 237-263
Author(s):  
Ricardo Morales ◽  
Jesus Fraile-Ardanuy ◽  
Alvaro Gutierrez ◽  
David Jimenez ◽  
Benito Artaloytia ◽  
...  
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Electric Vehicles ◽  
Local Energy ◽  
Distributed Energy ◽  
Distributed Energy Storage

scholarly journals Impact of Electric Vehicles as Distributed Energy Storage in Isolated Systems: The Case of Tenerife

2015 ◽  
Vol 7 (11) ◽  
pp. 15152-15178 ◽  
Author(s):  
Alfredo Díaz ◽  
Francisco Ramos-Real ◽  
Gustavo Marrero ◽  
Yannick Perez
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Distributed Energy ◽  
Distributed Energy Storage ◽  
Isolated Systems

scholarly journals Distributed energy management for ship power systems with distributed energy storage

2019 ◽  
Vol 19 (sup1) ◽  
pp. 31-44 ◽  
Author(s):  
Chris S. Edrington ◽  
Gokhan Ozkan ◽  
Behnaz Papari ◽  
David E. Gonsoulin ◽  
Dallas Perkins ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Energy Management ◽  
Distributed Energy ◽  
Distributed Energy Storage ◽  
Distributed Energy Management

scholarly journals Orderly grid-connected cooperative scheduling control strategy based on distributed energy storage for electric vehicles

2021 ◽  
Vol 2121 (1) ◽  
pp. 012030
Author(s):  
Xiaomei Li ◽  
Rong Cao ◽  
Wenbo Hao ◽  
Mingyu Xu ◽  
Heng Hu ◽  
...  
Keyword(s):  
Energy Storage ◽  
Objective Function ◽  
Electric Vehicles ◽  
Control Strategy ◽  
Large Scale ◽  
Distributed Energy ◽  
Peak Shaving ◽  
Grid Connection ◽  
Distributed Energy Storage ◽  
Cooperative Scheduling

Abstract 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.

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