Real-Time MPPT Optimization of PV Systems by Means of DCD-RLS Based Identification

被引:7
作者
Dadkhah, Jalal [1 ]
Niroomand, Mehdi [1 ]
机构
[1] Univ Isfahan, Dept Elect Engn, Esfahan 8196713633, Iran
关键词
Photovoltaic systems; maximum power point tracking; perturbation period; system identification; dichotomous coordinate descent; recursive least squares; POWER POINT TRACKING; ALGORITHM; PERTURB; OSCILLATION; CONTROLLERS; CONVERTER; DESIGN;
D O I
10.1109/TSTE.2018.2878826
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Maximum power point tracking (MPPT) algorithms continuously change duty cycle of a power converter to extract maximum power from photovoltaic panels. In all of MPPT methods, two parameters, i.e., perturbation period (T-p) and amplitude (Delta D), have a great effect on speed and accuracy of MPPT. Optimum value of the perturbation period is equal to the system settling time, which is the system model-dependent parameter. Since the system model varies according to the change of irradiance level and temperature, the value of T-p has to be determined online. In this paper, the parametric identification method is adopted to identify the online value of T-p. The proposed method is based on the dichotomous coordinate descent-recursive least squares algorithm and uses an infinite impulse response adaptive filter as the system model. Computation of this algorithm is based on an efficient, fixed-point, and iterative approach with no explicit division operations; these features are highly suitable for online applications. As a result, the proposed method compared to previous works leads to more accurate and faster identification of the system settling time. To test and validate the proposed method, it has been simulated and implemented to be further validated with experimental data.
引用
收藏
页码:2114 / 2122
页数:9
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