Adaptive perturb & observe MPPT algorithm for photovoltaic system

S. K. Kollimalla, M. Mishra
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引用次数: 31

Abstract

Maximum power point tracking (MPPT) techniques are used in photovoltaic (PV) systems to extract maximum power from the PV module. There are number of techniques available in literature. Perturb and observe (P &O) method is widely used because of its low-cost and ease of implementation. The P&O method oscillates close to maximum power point (MPP), when atmospheric conditions are constant or slowly varying. However, when irradiance and temperature are changing rapidly, this method fails to track MPP with rapid speed. In order to consider rapidly varying atmospheric conditions an adaptive control algorithm is proposed, by measuring the short circuit current at different irradiance levels and temperatures. In this proposed method current perturbation is considered instead of voltage perturbation. The proposed method has faster dynamics and improved stability compared to the conventional P&O method. The effectiveness of proposed MPPT algorithm is verified using digital simulations.
光伏系统的自适应摄动与观测算法
最大功率点跟踪(MPPT)技术用于光伏(PV)系统中,从光伏组件中提取最大功率。文献中有许多可用的技术。摄动观察(P &O)方法因其成本低、易于实现而被广泛应用。当大气条件恒定或缓慢变化时,P&O方法在最大功率点(MPP)附近振荡。然而,当辐照度和温度变化较快时,该方法无法快速跟踪MPP。为了考虑大气条件的快速变化,提出了一种测量不同辐照度和温度下短路电流的自适应控制算法。在该方法中,电流摄动代替电压摄动被考虑。与传统的P&O方法相比,该方法具有更快的动态性和更高的稳定性。通过数字仿真验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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