改进的光伏发电系统最大功率点的确定性实时估计

Salish Maharjan, J. Peng, W. Xiao
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引用次数: 3

摘要

最大功率点跟踪(MPPT)通常采用启发式跟踪算法,该算法在光伏阵列的最大功率点(MPP)周围产生振荡。本文提出了利用确定性曲线拟合方法精确定位MPP的替代方案。非线性PV曲线近似为一个多项式方程,该方程的系数可以通过带变量遗忘因子的递归方法实时识别。这种方法被称为可变遗忘因子递归估计(REVFF)。因此,在不受PV电压扰动的情况下,提高了跟踪精度。通过仿真验证了所提出的系统和控制方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved deterministic real-time estimation of Maximum Power Point in photovoltaic power systems
Heuristic tracking algorithms are commonly adopted for Maximum Power Point Tracking (MPPT), which generates oscillations around the Maximum Power Point (MPP) of the PV array. Alternative solution using deterministic curve-fitting approach is proposed in this paper to locate the MPP accurately. The non-linear PV curve is approximated by a polynomial equation, of which the coefficients can be identified in real time by using a recursive methodology with variable forgetting factors. This method is named as Recursive Estimation with Variable Forgetting Factor (REVFF). Thus, the tracking accuracy is improved without the perturbation of PV voltage. The proposed system and control scheme are implemented and verified by simulation.
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