基于PI控制器的优化混合模型,用于光伏集成电动汽车充电微电网中的自适应能源管理
Rathika Natarajan1, Jaisiva Selvaraj2, Shyam Daniel3
1Department of Electrical and Electronics Engineering, SKP Engineering College, Tiruvannamalai, Tamilnadu, India.
Scientific reports
|February 23, 2026
概括
本研究介绍了电动汽车和可再生能源的DC微电网的优化混合能源管理系统. 该系统可降低高达56%的成本,并将排放量减少超过55%,改善电网稳定性.
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
- 控制系统 控制系统
背景情况:
- 越来越多的电动汽车 (EV) 采用增加了对充电站 (CS) 的需求,导致电网不稳定性和更高的峰值负载.
- 集成可再生能源 (RES) 的微电网 (MG) 面临因RES间歇性而带来的挑战,需要先进的能源管理.
- 具有光伏 (PV) 生产,燃料电池,电池存储和电动汽车充电的直流微电网需要强大的电力平衡解决方案.
研究的目的:
- 为配备电动汽车充电基础设施的直流微电网提供基于IP的优化混合能源管理系统 (EMS).
- 为了提高电力平衡,降低运营成本,并在波动的电动汽车需求和可用性下改善电网稳定性.
- 验证拟议的EMS在增加可再生能源利用和减少温室气体排放方面的有效性.
主要方法:
- 开发了一种混合能源管理系统,将模糊逻辑控制器 (FLC) 与基于矮人蒙古斯的红熊优化 (RPO) 算法相结合,以实现最佳的比例积分 (PI) 调整.
- 使用MATLAB/Simulink模拟和验证了使用DC微电网的拟议系统,其中包括光伏,燃料电池,电池存储和电动汽车充电.
- 在EMS中实施了动态关税调整和高效的转换器管理策略.
主要成果:
- 实现了电动汽车充电成本的显著降低,在非高峰时段最低为0.034美元/千瓦时,平均工作日/周末成本分别降低了45.26%和56.11%.
- 通过加强可再生能源利用,显著减少温室气体排放 (高达55.75%).
- 与传统方法相比,展示了改进的功率平衡,优越的电压调节和更快的融合.
结论:
- 优化的基于PI的混合电力系统有效地提高了电力稳定性,成本效益和可再生能源集成在支持电动汽车充电的DC微电网中.
- 拟议的适应性EMS为管理现代微电网的复杂性提供了可靠的解决方案,随着电动汽车透率和可再生能源的增加.
- 结果证实了系统能够平衡功率,降低运营费用,并最大限度地减少对环境的影响.
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