Variable Perturbation Size Adaptive P&O MPPT Algorithm for Sudden Changes in Irradiance

被引:216
作者
Kollimalla, Sathish Kumar [1 ]
Mishra, Mahesh Kumar [1 ]
机构
[1] Indian Inst Technol, Madras 600036, Tamil Nadu, India
关键词
Adaptive control algorithm (ACA); adaptive P&O MPPT algorithm; current perturbation algorithm (CPA); fractional short circuit current (FSCC) method; maximum power point tracking (MPPT); perturb and observe (P&O) method; variable perturbation algorithm (VPA); POINT-TRACKING CONTROLLER; MAXIMUM; IMPLEMENTATION; SIMULATION; ARRAY; MODEL;
D O I
10.1109/TSTE.2014.2300162
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, a variable perturbation size adaptive perturb and observe (P&O) maximum power point tracking (MPPT) algorithm is proposed to track the maximum power under sudden changes in irradiance. The proposed method consists of three algorithms, namely current perturbation algorithm (CPA), adaptive control algorithm (ACA), and variable perturbation algorithm (VPA). CPA always tries to operate the photovoltaic (PV) panel at maximum power point (MPP). ACA sets the operating point closer to MPP, only if the operating limits are violated. These operating limits are expressed in terms of the operating current range of the PV panel and the sudden changes in irradiance. VPA dynamically reduces the perturbation size based on polarity of change in power. Two-stage variable size perturbation is proposed in this paper. The proposed algorithm is realized using a boost converter. The effectiveness of proposed algorithm in terms of dynamic performance and improved stability is validated by detailed simulation and experimental studies.
引用
收藏
页码:718 / 728
页数:11
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