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首页> 外文会议>International Conference on Ecological Vehicles and Renewable Energies >Recharging prioritization method for the integration of electric vehicle fleets with the Smart Grid: an evolutionary computation approach
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Recharging prioritization method for the integration of electric vehicle fleets with the Smart Grid: an evolutionary computation approach

机译：电动汽车车队与智能电网整合的充电优先排序方法：一种进化计算方法

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摘要

The recent advances on electric vehicles are accelerating their expansion across the world. Their advantages from the ecological point of view are positioning them as the future transport method. Despite of all their advantages, the recharging of these vehicles will raise difficulties from the point of view of power system planning due to their high-power demand. They can cause high consumption peaks over the system if many of them are charged simultaneously. Therefore, this problem must be solved for not to stop the expansion of electric vehicles. In this sense, this paper proposes the use of evolutionary computation methods for the planning of vehicle recharging as part of a complete platform based on virtual power plants. In this way, the integration between fleets and the grid can be achieved, reducing the peak power requirements. Different algorithms are described and compared here, showing their performance and computational cost.
机译：电动汽车的最新进展正在加速其在世界范围内的扩展。从生态学的角度来看，它们的优势将它们定位为未来的运输方法。尽管它们具有所有优点，但是由于其高功率需求，从电力系统规划的角度来看，这些车辆的充电将增加困难。如果其中许多同时充电，它们会在系统上引起高功耗峰值。因此，必须解决该问题以不停止电动车辆的扩展。从这个意义上讲，本文提出将进化计算方法用于车辆充电规划，作为基于虚拟电厂的完整平台的一部分。这样，可以实现车队与电网之间的集成，从而降低了峰值功率需求。这里描述和比较了不同的算法，显示了它们的性能和计算成本。

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