Optimal Day-ahead Dispatch of Virtual Power Plant with Aggregated Multi-type Electric Vehicles via a Stackelberg Game Approach

Author(s):  
Fan Yang ◽  
Zilong Zhang ◽  
Weizhen Yong ◽  
Jingdong Wei ◽  
Zelong Lu ◽  
...  
2021 ◽  
Vol 299 ◽  
pp. 01011
Author(s):  
Shuai Han ◽  
Leping Sun ◽  
Xiaoxuan Guo ◽  
Jianbin Lu

As the proportion of electric vehicles and distributed power sources connected to the power grid continues to increase, virtual power plants provide new ideas for effectively solving electric vehicles and distributed power sources connected to the grid. Considering that there are obvious uncertainties in the number of dispatchable electric vehicles and the output of distributed power sources, this paper focuses on the multi-objective interval optimization problem of virtual power plants considering the uncertainty of source load. Based on the analysis of the virtual power plant architecture, aiming at the uncertainty of the source load, a multi-objective interval optimization model of the virtual power plant was established using the interval number theory; in order to verify the validity of the established model, a virtual power plant in a certain area was selected as an example for analysis. The results show that the uncertainty of distributed power sources and electric vehicles can be better avoided in the interval optimization process, and the proposed scheme has strong robustness.


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