使用一种新的混合优化技术,优化插电式混合动力电动汽车充电站的最佳规划和分配
Ayyappan Subramaniam1, Lal Raja Singh Ravi Singh2
1Department of Electrical and Electronics Engineering, Jai Shriram Engineering College, Tirupur, Tamil Nadu, India.
PloS one
|July 26, 2023
概括
本研究引入了一种优化的方法,用于放置由可再生能源供电的电动汽车充电站. 新的AT-AQ算法有效地降低了成本,同时确保了印度的电网稳定性.
科学领域:
- 电气工程 电气工程
- 可持续能源系统 可持续能源系统
- 优化算法 优化算法
背景情况:
- 印度日益增长的人口需要可持续的交通解决方案,其中电动汽车 (EV) 是一个关键焦点.
- 电动汽车充电站的不当放置可能会对发电系统产生负面影响.
- 将可再生能源 (RES) 与电动汽车充电基础设施相结合,对于环境可持续性至关重要.
研究的目的:
- 制定与可再生能源集成的插电式混合动力电动汽车 (PHEV) 充电站的有效分配策略.
- 尽量减少建立充电网络的总体成本,同时保持发电系统的运行完整性.
- 解决最佳充电站放置的多目标问题,考虑到PHEV,RES和电网约束.
主要方法:
- 应用元启发式优化技术用于充电站分配.
- 开发和部署了一种新的混合算法,即原子搜索编织鱼优化算法 (AT-AQ).
- 该AT-AQ算法结合了Aquila优化器 (AO) 和原子搜索优化 (ASO) 的优势,以克服融合和局部最佳问题.
主要成果:
- 拟议的AT-AQ算法在与现有方法相比显示出更高的性能.
- 该模型实现了最小化成本的功能,表明了具有成本效益的充电站放置.
- 成功的概念化最佳的充电站分布作为一个多目标的问题.
结论:
- 该AT-AQ算法为使用可再生能源的PHEV充电站的最佳放置提供了有效的解决方案.
- 开发的方法确保了成本高效的充电网络,支持发电系统的稳定性.
- 这项研究有助于在城市交通基础设施中可持续地整合电动汽车和可再生能源.
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