A PV MPPT control method based on async-PSO and INC algorithm under shading condition

IF 0.9 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY Journal of Optoelectronic and Biomedical Materials Pub Date : 2024-03-01 DOI:10.15251/jobm.2024.161.17
W. L. Li, L.S. Chuah
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Abstract

For the time being, solar energy has received considerable attention and development on account of its distinct advantages, such as rich reserves and no geographical restrictions. Nevertheless, in practical applications, the photovoltaic module is easily affected by external environments, which gives rise to a decrease in photovoltaic power. The maximum power point tracking (MPPT) technology for PV power system is an effective method to elevate the efficacy of photovoltaic electricity conversion. The frequently used control methods include the perturb and observe (P&O) algorithm and the incremental conductance (INC) method, and so forth; these methods vary tremendously in terms of the required parameters, algorithm complexity, tracking speed, tracking accuracy, hardware requirements etc. This work puts forth a MPPT control method on the basis of Async-PSO and INC algorithm to achieve a better performance in the MPPT. To reflect the change of light amplitude and temperature in a day, the temperature varies from 25℃ to 60℃ and irradiance from 450W/m2 to 900W/m2 . An extensively used mono-crystalline silicon PV module with 240W was considered as the research object to compare the capability of the recommended MPPT control method. MATLAB/Simulink software was adopted to model and simulate the algorithm. Aside from that, comprehensive comparisons were made with other MPPT methods to test and verify the recommended algorithm has significantly improved the tracking speed and accuracy at the maximum power point with smaller oscillations under various conditions.
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遮阳条件下基于异步-PSO 和 INC 算法的光伏 MPPT 控制方法
目前,太阳能因其储量丰富、不受地域限制等显著优势而受到广泛关注和发展。然而,在实际应用中,光伏组件很容易受到外部环境的影响,导致光伏发电功率下降。光伏发电系统的最大功率点跟踪(MPPT)技术是提高光伏发电转换效率的有效方法。常用的控制方法包括扰动和观测(P&O)算法、增量电导(INC)方法等,这些方法在所需参数、算法复杂度、跟踪速度、跟踪精度、硬件要求等方面存在很大差异。本研究在 Async-PSO 和 INC 算法的基础上提出了一种 MPPT 控制方法,以实现更好的 MPPT 性能。为了反映一天中光照幅度和温度的变化,温度从 25℃ 到 60℃,辐照度从 450W/m2 到 900W/m2。为了比较推荐的 MPPT 控制方法的能力,研究对象是一个广泛使用的 240W 单晶硅光伏组件。采用 MATLAB/Simulink 软件对算法进行建模和仿真。此外,还与其他 MPPT 方法进行了综合比较,以测试和验证所推荐的算法在各种条件下都能显著提高最大功率点的跟踪速度和精度,且振荡较小。
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来源期刊
Journal of Optoelectronic and Biomedical Materials
Journal of Optoelectronic and Biomedical Materials MATERIALS SCIENCE, MULTIDISCIPLINARY-
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