scholarly journals Multi-objective stochastic scheduling optimization model for connecting a virtual power plant to wind-photovoltaic-electric vehicles considering uncertainties and demand response

2016 ◽  
Vol 128 ◽  
pp. 160-177 ◽  
Author(s):  
Liwei Ju ◽  
Huanhuan Li ◽  
Junwei Zhao ◽  
Kangting Chen ◽  
Qingkun Tan ◽  
...  
Keyword(s):  
Power Plant ◽  
Electric Vehicles ◽  
Demand Response ◽  
Optimization Model ◽  
Stochastic Scheduling ◽  
Virtual Power ◽  
Scheduling Optimization ◽  
Virtual Power Plant ◽  
Multi Objective

scholarly journals Multi-objective Interval Optimization of Virtual Power Plant Considering the Uncertainty of Source and Load

2021 ◽  
Vol 299 ◽  
pp. 01011
Author(s):  
Shuai Han ◽  
Leping Sun ◽  
Xiaoxuan Guo ◽  
Jianbin Lu
Keyword(s):  
Power Plant ◽  
Electric Vehicles ◽  
Power Plants ◽  
Interval Optimization ◽  
Virtual Power ◽  
Power Sources ◽  
Distributed Power ◽  
Virtual Power Plant ◽  
Multi Objective ◽  
Virtual Power Plants

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.

Sign in / Sign up

Export Citation Format

Share Document