Abstract
An electric vehicle (EV) may be used as energy storage which allows the bi-directional electricity flow between the vehicle's battery and the electric power grid. In order to flatten the load profile of the electricity system, EV scheduling has become a hot research topic in recent years. In this paper, we propose a new formulation of the joint scheduling of EV and Unit Commitment (UC), called EVUC. Our formulation considers the characteristics of EVs while optimizing the system total running cost. We employ Chemical Reaction Optimization (CRO), a general-purpose optimization algorithm to solve this problem and the simulation results on a widely used set of instances indicate that CRO can effectively optimize this problem.
| Original language | English |
|---|---|
| Title of host publication | 2013 IEEE Congress on Evolutionary Computation, CEC 2013 |
| Pages | 392-399 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2013 IEEE Congress on Evolutionary Computation, CEC 2013 - Cancun, Mexico Duration: 20 Jun 2013 → 23 Jun 2013 |
Publication series
| Name | 2013 IEEE Congress on Evolutionary Computation, CEC 2013 |
|---|
Conference
| Conference | 2013 IEEE Congress on Evolutionary Computation, CEC 2013 |
|---|---|
| Country/Territory | Mexico |
| City | Cancun |
| Period | 20/06/13 → 23/06/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
User-Defined Keywords
- chemical reaction optimization
- Electric vehicle
- metaheuristic
- power system
- smart grid
- unit commitment
- vehicle-to-grid
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