关于使用风能发电的电动汽车的最佳充电时间表
Junjie Wu1,2, Qing-Shan Jia1
1Center for Intelligent and Networked Systems (CFINS), Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China.
Fundamental research
|August 19, 2024
概括
我们开发了高效的算法来安排电动汽车 (EV) 用可再生能源充电. 我们的方法确保了自给自足的充电或在电力短缺期间的最佳管理,优于现有的方法.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 可再生能源系统可再生能源系统
背景情况:
- 越来越多的电动汽车 (EV) 采用和可再生能源的整合需要有效的充电策略.
- 优化电动汽车充电是复杂的,因为大行动空间,多阶段的决策,和高的不确定性.
- 目前的方法对于大规模系统来说往往是耗时的,需要实用和高效的解决方案.
研究的目的:
- 开发高效的算法来规划与可再生能源发电集成的电动汽车充电.
- 通过分布式发电提供足够的条件来实现自给自足的电动汽车充电.
- 调查可再生能源赤字下的最佳收费政策,并提出一个近乎最佳的总体解决方案.
主要方法:
- 导出一个足够的条件,使自给自足的充电.
- 当条件成立时,开发一个最佳的充电政策算法.
- 使用修改后的最小松性和较长的剩余处理时间第一 (mLLLP) 规则来证明一种最佳政策.
- 关于在一般场景中实现近最佳充电的基于规则的自适应算法的建议.
主要成果:
- 通过分布式发电确定了通过分布式发电实现自给自足的电动汽车充电的充分条件.
- 对于满足充足条件的场景,我们得出了最佳的收费政策.
- 基于mLLLP规则的最佳政策被证明是确定性的可再生发电缺口.
- 拟议的基于规则的自适应算法在数值实验中表现出高于现有方法的性能.
结论:
- 有效的电动汽车充电计划对于整合电动汽车和可再生能源至关重要.
- 开发的算法为自给自足和赤字场景提供了实用和高效的解决方案.
- 基于规则的自适应算法为一般电动汽车充电管理提供了近乎最佳和高效的方法.
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