An improvement of Global Maximum Power Point Tracking Using a Novel Grasshopper Optimisation Algorithm of Photovoltaic System

IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
T. Tamilarasan, M. V. Suganyadevi
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引用次数: 0

Abstract

The performance of solar photovoltaic (PV) panels is entirely determined by ambient temperature, solar irradiance, and dynamic environmental conditions. As a result, the photovoltaic system exhibits multiple peaks in the I-V and P-V curves during partial shading conditions (PSC), which significantly reduces power output. The maximum power point tracking (MPPT) method is essential for extracting maximum power from the PV panel during PSC. With conformist MPPT algorithms, determining the maximum power point is unrealistic. To overcome the constraints, this paper proposes the grasshopper optimisation algorithm (GOA), which imitates the behaviour of grasshopper swarms in nature and is capable of extracting maximum power even during unfavourable shading conditions. The performance assessment of GOA method has been carried out in the MATLAB/SIMULINK environment. This algorithm effectiveness is validated by comparing its performance with conventional and other most prominent global search counterparts. The proposed algorithm is validated in real-time hardware with boost converter through different PV array pattern. The outcome demonstrates the effectiveness of the proposed algorithm which drastically reduces the computation time and performs rapidly and precisely to extract the global maximum peak with minimal oscillations.

Abstract Image

利用新型草蜢优化算法改进光伏系统的全局最大功率点跟踪技术
太阳能光伏板的性能完全取决于环境温度、太阳辐照度和动态环境条件。因此,光伏系统在部分遮光条件(PSC)下的 I-V 和 P-V 曲线会出现多个峰值,从而大大降低功率输出。最大功率点跟踪(MPPT)方法对于在 PSC 期间从光伏板中提取最大功率至关重要。采用传统的 MPPT 算法,确定最大功率点是不现实的。为了克服这些限制,本文提出了蚱蜢优化算法 (GOA),该算法模仿了自然界中蚱蜢群的行为,即使在不利的遮阳条件下也能提取最大功率。GOA 方法的性能评估是在 MATLAB/SIMULINK 环境中进行的。通过与传统算法和其他最著名的全局搜索算法进行比较,验证了该算法的有效性。通过不同的光伏阵列模式,在升压转换器的实时硬件中验证了所提出的算法。结果证明了所提算法的有效性,该算法大大缩短了计算时间,并能快速、精确地提取全局最大峰值,同时将振荡降至最低。
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来源期刊
CiteScore
5.50
自引率
4.20%
发文量
93
审稿时长
>12 weeks
期刊介绍: Transactions of Electrical Engineering is to foster the growth of scientific research in all branches of electrical engineering and its related grounds and to provide a medium by means of which the fruits of these researches may be brought to the attentionof the world’s scientific communities. The journal has the focus on the frontier topics in the theoretical, mathematical, numerical, experimental and scientific developments in electrical engineering as well as applications of established techniques to new domains in various electical engineering disciplines such as: Bio electric, Bio mechanics, Bio instrument, Microwaves, Wave Propagation, Communication Theory, Channel Estimation, radar & sonar system, Signal Processing, image processing, Artificial Neural Networks, Data Mining and Machine Learning, Fuzzy Logic and Systems, Fuzzy Control, Optimal & Robust ControlNavigation & Estimation Theory, Power Electronics & Drives, Power Generation & Management The editors will welcome papers from all professors and researchers from universities, research centers, organizations, companies and industries from all over the world in the hope that this will advance the scientific standards of the journal and provide a channel of communication between Iranian Scholars and their colleague in other parts of the world.
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