Collaborative Robust Optimization Strategy of Electric Vehicles and Other Distributed Energy Considering Load Flexibility

Aggregated electric vehicles (EVs) integrated to the grid and intermittent wind and solar energy increased the complexity of the economic dispatch of the power grid. Aggregated EVs have a great potential to reduce system operating costs because of their dual attributes of load and energy storage. In...

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Bibliographic Details
Published in:Energies (Basel) 2022-04, Vol.15 (8), p.2947
Main Authors: Wang, Yuxuan, Zhang, Bingxu, Li, Chenyang, Huang, Yongzhang
Format: Article
Language:English
Subjects:
Alternative energy sources
Charging
Collaboration
Decoupling
demand difference
Distributed generation
Efficiency
Electric power grids
Electric vehicles
Energy consumption
Energy resources
Energy storage
EV cluster
Flexibility
Linear programming
Operating costs
Optimization
Optimization models
Renewable resources
robust optimization
schedulable capability
Scheduling
Solar energy
temporal flexibility
User behavior
Wind power
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Summary:Aggregated electric vehicles (EVs) integrated to the grid and intermittent wind and solar energy increased the complexity of the economic dispatch of the power grid. Aggregated EVs have a great potential to reduce system operating costs because of their dual attributes of load and energy storage. In this paper, plugged-in EV is refined into three categories: rated power charging, adjustable charging, and flexible charging–discharging, and then control models are established separately; the concept of temporal flexibility for EV clusters is proposed for the adjustable charging and flexible charging–discharging of EV sets; then, the schedule boundary of EV clusters is determined under the flexibility constraints. The interval is used to describe the intermittent nature of renewable energy, and the minimum operating cost of the system is taken as the goal to construct a distributed energy robust optimization model. By decoupling the model, a two-stage efficient solution is achieved. An example analysis verifies the effectiveness and superiority of the proposed strategy. The proposed strategy can minimize the total cost while meeting the demand difference of EV users.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15082947