Touti Ezzeddine, Rafikiran Shaik, Graba Besma Bechir, Aoudia Mouloud, Senthilkumar S
Department of Electrical Engineering, College of Engineering, Northern Border University, 91431, Arar, Saudi Arabia.
Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering, Tirupati, 517507, Andhra Pradesh, India.
Sci Rep. 2024 May 31;14(1):12510. doi: 10.1038/s41598-024-63074-z.
The present power generation corporations are working on Renewable Power Systems (RPS) for supplying electrical power to the automotive power industries. There are several categories of RPSs available in the atmosphere. Among all of the RPSs, the most general power network used for Electric Vehicles (EVs) is hydrogen fuel which is available in nature. The H fuel is fed to the Proton Exchange Membrane Fuel Stack (PEMFS) for producing electricity for the EV stations. The advantages of this selected fuel system are more power conversion efficiency, environmentally friendly, low carbon emissions, more power density, less starting time, plus able to work at very low-temperature values. However, this fuel stack faces the issue of a nonlinear power density curve. Due to this nonlinear power supply from the fuel stack, the functioning point of the overall network changes from one position of the I-V curve to another position. So, the peak voltage extraction from the fuel stack is not possible. In this article, there are various metaheuristic optimization-based Maximum Power Point Tracking (MPPT) methodologies are studied along with the conventional methods for obtaining the Maximum Power Point (MPP) position of the PEMFS. From the simulative investigation, the Continuous Different Slope Value-based Cuckoo Search Method (CDSV with CSM) provides better efficiency with more output power. Also, for all the MPPT methods comprehensive analysis has been made by utilizing the simulation results.
目前，发电公司正在致力于可再生能源发电系统（RPS），以向汽车电力行业供电。大气中有几种类型的可再生能源发电系统。在所有可再生能源发电系统中，用于电动汽车（EV）的最常见电网是自然界中存在的氢燃料。氢燃料被输送到质子交换膜燃料电池堆（PEMFS），为电动汽车充电站发电。这种选定的燃料系统的优点是功率转换效率更高、环保、碳排放量低、功率密度高、启动时间短，并且能够在非常低的温度值下工作。然而，这种燃料电池堆面临着功率密度曲线非线性的问题。由于燃料电池堆的这种非线性供电，整个网络的工作点会从I-V曲线的一个位置变化到另一个位置。因此，无法从燃料电池堆中提取峰值电压。在本文中，研究了各种基于元启发式优化的最大功率点跟踪（MPPT）方法以及用于获取质子交换膜燃料电池堆最大功率点（MPP）位置的传统方法。通过模拟研究，基于连续不同斜率值的布谷鸟搜索方法（带CSM的CDSV）具有更高的效率和更多的输出功率。此外，利用模拟结果对所有MPPT方法进行了综合分析。
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