太阳能电动电动汽车充电站在辐射分布系统中的最佳调度,使用基于对立的竞争性群体优化
Isha Chandra1, Navneet Kumar Singh2, Paulson Samuel2
1Department of Electrical Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. isha.2020ree11@mnnit.ac.in.
Scientific reports
|February 10, 2025
概括
太阳能电动汽车充电站可以减少电网压力. 一种OCSO优化技术可以最大限度地降低电动汽车充电成本,并通过智能充电模式提高电网稳定性.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 优化技术 优化技术
背景情况:
- 传统的电动汽车充电压力遗留电网.
- 间歇式太阳能需要先进的能源管理来充电电动汽车.
- 优化电动汽车 (EV) 充/放电时间表对于电网稳定至关重要.
研究的目的:
- 引入基于对立的竞争性群体优化 (OCSO) 技术.
- 为了最大限度地降低IEEE 33 总线分布系统中的电动汽车充电成本.
- 为了评估太阳能电动汽车在愚蠢,G2V和V2G模式下充电.
主要方法:
- 实现了OCSO,以实现最佳的电动汽车充/放电时间表.
- 在不同的公共汽车上模拟了五个太阳能充电站.
- 分析了总线电压,负载配置文件,成本,电动汽车充电状态 (SOC) 和变压器热性能.
主要成果:
- 与愚蠢充电相比,智能G2V和V2G充电分别减少了13.7%和21.6%的功耗损失.
- 智能V2G充电减少了变压器的老化11.86%,延长了寿命.
- OCSO有效地管理了电动汽车充电,以减轻电网影响.
结论:
- 具有智能管理策略的太阳能电动汽车充电站提高了电网效率.
- 先进的调度可以降低运营成本和电网压力.
- 这种方法支持可持续的运输,并减少碳排放.
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