基于混合元启发式算法的太阳能光伏发电系统增强无漂移摄动和观测最大功率点跟踪方法

IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Diwaker Pathak, Aanchal Katyal, Prerna Gaur
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引用次数: 0

摘要

作为一种清洁能源,太阳能光伏发电系统面临着动态的、不可预测的环境条件变化;因此,传统和现有的最大功率点跟踪(MPPT)方法可能会陷入局部最小值。然而,由于DC-DC变换器的开关应变较小,可以使用有效的生物启发元启发式算法对无漂移P&O MPPT方法进行监督,以最大限度地提高其鲁棒性和发电效率。因此,本文采用灰狼技能嵌入levy飞行优化(LI-GWO)方法作为一种新方法,显著提高了无漂移P&O MPPT方法的效率。首先,建立了基于单端初级电感变换器(SEPIC)的并网SPV系统模型,对MPPT性能进行了评估。此外,使用LI-GWO增强无漂移P&O算法,通过基于levy飞行的布朗运动更新灰狼的位置来调节SEPIC的占空比。此外,对LI-GWO +无漂移P&O算法的有效性进行了探索、开发和收敛性分析。这样,该算法可以快速达到全局最大值,此后,全局MPP (GMPP)由无漂移的P& 0本身跟踪,且切换应变较小。将该方法的性能与其他传统的和基于混合元启发式的MPPT方法进行了比较,以证明在新制定的极端天气条件模型下的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An Enhanced Drift-Free Perturb and Observe Maximum Power Point Tracking Method Using Hybrid Metaheuristic Algorithm for a Solar Photovoltaic Power System

An Enhanced Drift-Free Perturb and Observe Maximum Power Point Tracking Method Using Hybrid Metaheuristic Algorithm for a Solar Photovoltaic Power System

Despite of being a cleaner energy resource, the solar photovoltaic (SPV) system faces the dynamic and unpredictable changes in environmental conditions; hence, conventional and extant maximum power point tracking (MPPT) methods can get stuck at local minima. However, on account of less switching strain on the DC–DC converter, the drift-free P&O MPPT method can be supervised with effective bio-inspired metaheuristic algorithms to maximize its robustness and efficiency to generate photovoltaic power. Therefore, in this paper, the efficiency of the drift-free P&O MPPT method is significantly enhanced using a grey wolf skill embedded levy flight optimization (LI-GWO) method as a new approach. Firstly, a single-ended primary inductor converter (SEPIC)-based grid-connected SPV system is modeled to assess the MPPT performance. Further, using the LI-GWO enhanced drift-free P&O algorithm, the duty cycle of the SEPIC is regulated by updating the position of the grey wolfs based on the Brownian motion of the levy flights. Moreover, the exploration, exploitation and convergence analysis are carried out to examine the effectiveness of the proposed LI-GWO + drift-free P&O algorithm. In this manner, the proposed algorithm attains the global maxima quickly and, thereafter, the global MPP (GMPP) is tracked by the drift-free P&O itself with the less switching strain. The performance of the proposed MPPT approach is compared with the other conventional and hybrid metaheuristic-based MPPTs to show effectiveness under the newly formulated extreme weather condition model.

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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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