一个新的宽输入电压直流-直流转换器用于带有混合MPPT控制器的太阳能光伏系统
Sunkara Sunil Kumar1, K Balakrishna2
1Vignan's Foundation for Science Technology and Research, Vadlamudi, India.
Scientific reports
|May 9, 2024
概括
可再生能源为使用太阳能光伏系统充电电动汽车提供动力. 一个自适应性步骤遗传算法优化辐射基功能网络通过优化功率输出和电压来提高效率.
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:
- 传统发电面临着诸如高成本,排放和巨大的足迹等挑战.
- 包括太阳能在内的可再生能源 (RES) 越来越多地被用于可持续发电.
- 太阳能光伏 (PV) 系统正在探索电动汽车 (EV) 电池充电,但它们的非线性输出功率需要优化.
研究的目的:
- 提高用于电动汽车充电的太阳能光伏系统的运行效率.
- 为了解决太阳能光伏模块的非线性输出功率和低供应电压问题.
- 引入一个优化的最大功率点跟踪 (MPPT) 控制器和一个宽输入电压直流-直流转换器.
主要方法:
- 使用适应性步骤遗传算法优化 (ASGAO) 辐射基础功能网络 (RBFN) 进行MPPT.
- 实现了宽输入电压直流-直流转换器,以提高太阳能光伏模块的低供应电压.
- 使用MATLAB/Simulink模拟和分析拟议的系统,并使用可编程直流源进行测试.
主要成果:
- 与基本的MPPT控制器相比,ASGAO-RBFN控制器表现出快速的动态响应,快速的融合,稳定性和高的操作效率.
- 拟议的直流-直流转换器提供了高电压增益,良好的电源质量,对二极管的低电压压力和低实施成本.
- 集成系统有效地最大化了用于电动汽车充电的太阳能光伏电源供应.
结论:
- 开发的混合MPPT控制器和DC-DC转换器显著提高了用于电动汽车充电应用的太阳能光伏系统性能.
- 拟议的解决方案提供了一种成本效益高效的方法,将太阳能集成到电动汽车基础设施中.
- 进一步的研究可以探索现实世界的实施和长期绩效分析.
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