Kanouni Badreddine, Badoud Abd Essalam, Mekhilef Saad, Bajaj Mohit, Zaitsev Ievgen
Automatic Laboratory of Setif, Electrical Engineering Department, University of Setif 1, Setif, Algeria.
School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia.
Sci Rep. 2024 Apr 5;14(1):7996. doi: 10.1038/s41598-024-58785-2.
This article offers a PV-PEMFC-batteries energy management strategy (EMS) that aims to meet the following goals: keep the DC link steady at the standard value, increase battery lifespan, and meet power demand. The suggested multi-source renewable system (MSRS) is made to meet load demand while using extra power to fill batteries. The major energy source for the MSRS is photovoltaic, and fuzzy logic MPPT is used to guarantee that the PV operates at optimal efficiency under a variety of irradiation conditions. The suggested state machine control consists of 15 steps. It prioritizes the proton exchange membrane fuel cell (PEMFC) as a secondary source for charging the battery when power is abundant and the state of charge (SOC) is low. The MSRS is made feasible by meticulously coordinating control and power management. The MSRS is made achievable by carefully orchestrated control and electricity management. The efficacy of the proposed system was evaluated under different solar irradiance and load conditions. The study demonstrates that implementing the SMC led to an average improvement of 2.3% in the overall efficiency of the system when compared to conventional control techniques. The maximum efficiency was observed when the system was operating under high load conditions, specifically when the state of charge (SOC) was greater than the maximum state of charge (SOCmax). The average efficiency achieved under these conditions was 97.2%. In addition, the MSRS successfully maintained power supply to the load for long durations, achieving an average sustained power of 96.5% over a period of 7.5 s. The validity of the modeling and management techniques mentioned in this study are confirmed by simulation results utilizing the MATLAB/Simulink (version: 2016, link: https://in.mathworks.com/products/simulink.html ) software tools. These findings show that the proposed SMC is effective at managing energy resources in MSRS, resulting in improved system efficiency and reliability.
本文提出了一种光伏-质子交换膜燃料电池-电池储能系统的能量管理策略（EMS），旨在实现以下目标：使直流母线稳定在标准值、延长电池使用寿命并满足功率需求。所建议的多源可再生系统（MSRS）旨在满足负载需求，同时利用多余电力为电池充电。MSRS的主要能源是光伏，采用模糊逻辑最大功率点跟踪（MPPT）来确保光伏在各种辐照条件下以最佳效率运行。所建议的状态机控制由15个步骤组成。当电力充足且荷电状态（SOC）较低时，它将质子交换膜燃料电池（PEMFC）作为为电池充电的次要电源。通过精心协调控制和功率管理，使MSRS切实可行。通过精心安排控制和电力管理，使MSRS得以实现。在不同的太阳辐照度和负载条件下对所提系统的效能进行了评估。研究表明，与传统控制技术相比，实施状态机控制（SMC）使系统的整体效率平均提高了2.3%。当系统在高负载条件下运行时，特别是当荷电状态（SOC）大于最大荷电状态（SOCmax）时，观察到了最高效率。在这些条件下实现的平均效率为97.2%。此外，MSRS成功地长时间维持了对负载的供电，在7.5秒的时间段内实现了96.5%的平均持续供电。利用MATLAB/Simulink（版本：2016，链接：https://in.mathworks.com/products/simulink.html ）软件工具进行的仿真结果证实了本研究中提到的建模和管理技术有效。这些结果表明，所提出的SMC在管理MSRS中的能源资源方面是有效的，从而提高了系统效率和可靠性。
