Abstract
The rapid development of renewable energy poses new challenges to the operation of the grid: wind power can not be fully used due to the lack of peak-load regulation capacity and so on. And the electric vehicle charging as controllable provides the opportunity to improve the grid operation. A two-stage control mechanism based on grid and EV users is proposed to determine the coordinated program between large-scale EV charging and wind-thermal system. At the user side, different charging strategies for different users are established to optimize EV charging. At the grid side, a dynamic environmental dispatch model including economy, emission and wind-power abandoned is proposed to optimize outputs of the thermal units. The orthogonal initialization, improved crowd distance calculation and self-adaptive parameter control are put forward due to the weakness existing in the multi-objective differential evolution. Simulations are done in a system containing 10 thermal units and large-scale wind-power system, the coordinated program is determined, and impacts of EV scale and reserve on the operation are also analyzed.
| Original language | English |
|---|---|
| Pages (from-to) | 49-57 |
| Number of pages | 9 |
| Journal | Diangong Jishu Xuebao/Transactions of China Electrotechnical Society |
| Volume | 28 |
| Issue number | 5 |
| State | Published - May 2013 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Charging load
- Dynamic environmental dispatch
- Electric vehicle
- Enhanced differential evolution algorithm
- Wind power
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