Sliding mode control of SEPIC converter based photovoltaic system

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS Systems Science & Control Engineering Pub Date : 2021-05-03 DOI:10.1080/21642583.2021.1872043
Meng Zhang, N. Zhong, Mingyuan Ma
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引用次数: 1

Abstract

Photovoltaic (PV) energy can be considered to be as highly efficient energy source since it is ecofriendly, harmless and available endlessly. In order to improve the output power of photovoltaic cells, the maximum power point tracking technology is used in PV systems. This paper designs a sliding mode controller based on SEPIC converter to implement MPPT. The difference from other methods is that the proposed method uses the circuit output voltage U 0 in the closed-loop system, so that the controller has better control effect. The buck-boost feature of the SEPIC widens the applicable PV voltage and thus increases the adopted PV module flexibility. First, the photovoltaic array is modeled and the simulation results are analyzed in this paper. Then model and analyze the SEPIC circuit and derive a sliding mode control strategy based on this circuit. Finally, the results obtained in MATLAB/Simulink were compared with the conventional P&O algorithm and INC algorithm. The results show that the sliding mode controller proposed in this paper has faster speed and less oscillation when tracking the maximum power point (MPP).
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基于SEPIC变换器的光伏系统的滑模控制
光伏(PV)能源具有环保、无害、取之不竭的特点,是一种高效的能源。为了提高光伏电池的输出功率,在光伏系统中采用了最大功率点跟踪技术。本文设计了一种基于SEPIC变换器的滑模控制器来实现MPPT。与其他方法不同的是,本文提出的方法在闭环系统中使用电路输出电压U 0,使控制器具有更好的控制效果。SEPIC的降压特性拓宽了适用的光伏电压,从而增加了所采用的光伏组件的灵活性。本文首先对光伏阵列进行了建模,并对仿真结果进行了分析。然后对SEPIC电路进行建模和分析,并推导出基于该电路的滑模控制策略。最后,将MATLAB/Simulink中得到的结果与常规P&O算法和INC算法进行了比较。结果表明,本文提出的滑模控制器在跟踪最大功率点时具有更快的速度和更小的振荡。
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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