电池(电)
最大功率点跟踪
光伏系统
风力发电
汽车工程
工程类
控制理论(社会学)
电气工程
计算机科学
功率(物理)
环境科学
物理
电压
逆变器
人工智能
量子力学
控制(管理)
作者
Fatima Menzri,Tarek Boutabba,Idriss Benlaloui,Haneen Bawayan,Mohamed I. Mosaad,Mohamed Metwally Mahmoud
出处
期刊:Wind Engineering
[SAGE Publishing]
日期:2024-06-12
卷期号:48 (6): 1186-1202
被引量:3
标识
DOI:10.1177/0309524x241254364
摘要
Green energy sources (GESs) in electrical systems have become widely included in electrical networks for their significant subnational impacts on the economy and the environment. Regrettably, the power generating capacity of these GESs is significantly influenced by environmental circumstances, such as temperature and sun irradiation for PV systems and wind speed for WT systems. Environmental changes impact the power capacity of the electrical system since the maximum amount of power that can be generated will only be achieved by implementing control measures. This research aims to enhance the efficiency of a standalone renewable power system by optimizing the energy output from GESs using the MPPT technique, considering the impact of climate fluctuations. The standalone hybrid GESs combines PV and WT technologies with a BSS. For the PV and WT, a combinatorial MPPT technique is proposed to modify the control settings for this system optimally. This method is based on the SMC and FLC. The FLC plays a role in achieving the MPPT target by utilizing membership functions designed to handle uncertainties caused by shifting environmental conditions. Whereas for the BSS, an energy management plan is developed to optimize the performance of the HRES. The system under study outfitted with the MPPT technology, functions in tandem with a BSS. In case of failure or insufficient power generation from primary sources, a DC/DC bidirectional converter is employed to adjust the charging and discharging of the BSS, ensuring a stable supply of DC power. The system’s response in different climates is examined, and the proposed combination controller’s intended effectiveness is confirmed using MATLAB\Simulink. The investigated structure can achieve approximately 99.213% efficacy with the support of the proposed SMC-FLC method, which is 19.874% greater than the widely used P&O method.
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