基于改进的NSGA-III算法,电动汽车的最佳调度策略是基于改进的NSGA-III算法
Yun Wu1, Du Yan1, Jie-Ming Yang1
1Department of Computer Science, Northeast Electric Power University, Chuanying District, Jilin, Jilin, China.
PloS one
|May 17, 2024
概括
本研究提出了一种电动汽车充电模型,以平衡车主满意度和充电站收入. 优化的调度有效地管理电网负载,并提高电动汽车充电期间的用户体验.
科学领域:
- 电气工程 电气工程
- 优化理论 优化理论
- 可持续能源系统 可持续能源系统
背景情况:
- 未经管理的电动汽车充电增加了配电网络负载.
- 无序的充电导致电动汽车车主对电动汽车的满意度较低.
- 平衡电网稳定性与用户需求对于电动汽车集成至关重要.
研究的目的:
- 提出一个最佳的电动汽车调度模型,考虑车主满意度.
- 为应对分销网络负载增加和低业主满意度的挑战.
- 为了优化充电站收入和电网负载稳定性.
主要方法:
- 开发了一个最佳的调度模型,使用动态电价和电动汽车充电/放电状态.
- 纳入车辆所有者满意度,充电站收入和负载波动作为优化目标.
- 采用了改进的NSGA-III算法 (DJM-NSGA-III) 进行多目标,高维问题解决.
主要成果:
- 拟议的模型提高了车辆所有者满意度和充电站收入.
- 有效地缓解了所有者利益和运营需求之间的冲突.
- 在优化算法中显示了改善的初始人口质量和避免局部最佳值.
结论:
- DJM-NSGA-III算法有效地解决了复杂的电动汽车调度问题.
- 该模型成功地平衡了充电站的经济效益和业主的满意度.
- 确保配电网络的安全和稳定运行,增加电动汽车的透率.
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