与电网挂的混合光伏燃料电池系统与储能以及基于ANFIS的MPPT用于智能电动汽车充电
Suresh Vendoti1, Narasimha Prasad Tulasi2, Ravi Kumar Jalli3
1School of Engineering, Electrical and Electronics Engineering, Godavari Global University, Rajahmundry, Andhra Pradesh, India. sureshvendoti@gmail.com.
本研究介绍了用于电动汽车 (EV) 充电的混合可再生能源系统,集成太阳能,燃料电池和存储. 该系统使用ANFIS-MPPT算法进行高效的电力管理,并符合电网标准.
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
- 电力电子 电力电子 电力电子
背景情况:
- 对电动汽车 (EV) 充电基础设施的需求不断增长.
- 需要为电动汽车充电站提供可靠和高效的电源.
- 可再生能源在电网中的整合挑战.
研究的目的:
- 设计,模拟和验证用于电动汽车充电的联网混合可再生能源系统.
- 为了提高光伏 (PV) 面板的功率提取,使用基于适应性神经模糊推理系统 (ANFIS) 的最大功率点跟踪 (MPPT) 算法.
- 确保稳定和高质量的电力供应符合IEEE 519标准.
主要方法:
- 集成光伏电池板,质子交换膜燃料电池,电池存储和超级电容器.
- 实现基于ANFIS的MPPT算法用于光伏功率优化.
- 使用DSPIC30F4011微控制器开发和测试一个硬件原型.
主要成果:
- 实现了98.7%的MPPT效率和±1.5%的电压调节.
- 在电网电压和电流波形中证明了低的总波扭曲 (THD),符合IEEE 519标准.
- 经过验证的稳定运行,可控制光伏,燃料电池和电池存储的电压和电流输出.
结论:
- 拟议的混合系统为电动汽车充电提供了增强的瞬态响应,高能效和优越的功率质量.
- 在不同的条件下,ANFIS-MPPT算法有效地优化了光伏功率.
- 经过验证的系统是下一代智能电动汽车充电站的一个有希望的解决方案.
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