使用徒步旅行优化算法为电动汽车集成配电网的多目标优化框架
Mahmoud Samiei Moghaddam1, Masoumeh Azadikhouy2, Nasrin Salehi3
1Department of Electrical Engineering, Damghan Branch, Islamic Azad University, Damghan, Iran. samiei352@iau.ac.ir.
Scientific reports
|April 17, 2025
概括
将电动汽车 (EV) 集成到电网中可以提高效率. 使用徒步优化算法 (HOA) 的新优化模型可降低成本,减少能源损失,并通过电动汽车集成提高电网稳定性.
科学领域:
- 电气工程 电气工程
- 优化理论 优化理论
- 可再生能源系统可再生能源系统
背景情况:
- 电动汽车 (EV) 集成对配电网的稳定性,运营成本和效率构成挑战.
- 管理电动汽车充电和电池运营对于电网集成至关重要.
- 优化可再生能源,如光伏 (PV) 对于可持续发展至关重要.
研究的目的:
- 提出一种新的多目标优化模型,用于管理电动汽车在配电网中的集成.
- 为了最大限度地减少24小时内能源损失,运营成本,负载流失和电压偏差.
- 通过消除光伏限制,提高可再生能源资源的利用率.
主要方法:
- 开发了一个多目标优化模型,以解决电动汽车集成的电网挑战.
- 使用托布勒的徒步旅行函数的徒步旅行优化算法 (HOA) 用于优化.
- 在33个公共汽车的配电网上进行了模拟.
主要成果:
- 电动汽车集成将运营成本降低了19.3%,能源损耗降低了59.7%,减负率降低了75.4%,电压偏差降低了43.5%.
- 该HOA表现出卓越的性能,实现了比KMA低4.4%的总成本,与公用事业单位相比,能源损耗减少了24.5%.
- 消除了光伏 (PV) 的限制,确保了最佳的可再生能源利用.
结论:
- 拟议的模型有效地提高了电网稳定性和运营效率,增加了电动汽车的透率.
- HOA为复杂的电网管理场景提供了强大而高效的优化方法.
- 这种方法为集成电动汽车和可再生能源的现代电网提供了可扩展的解决方案.
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