Abstract
A Maximum Power Point Tracking (MPPT) algorithm is proposed based on the assumption that a simplified three-parameter photodiode-based model can provide an excellent approximation of a PV module $i-v $ curve around its maximum power point (MPP). Procedures to obtain the MPP coordinates and the three parameters of the approximated $i-v $ curve from experimental online measurements, analytical and Newton-Raphson iterative calculations are thoroughly described. Initializing the model as well as optimizing it to operate faster by identifying only subsets of the model parameters provides excellent MPPT efficiency in both static and dynamical MPPT situations. The performance of the proposed algorithm has been verified in comparison with other well-known MPPT methods using the software-in-the-loop approach. Next, its performance has been evaluated by using the MATLAB-based hardware-in-the loop experimental setup that provides the required reproducibility of the different synthetic and real irradiance and temperature profiles considered.
Highlights
The technology of solar photovoltaic (PV) modules showed impressive developments in the past decades
To maximize electric energy conversion efficiency, in PV systems the transformerless inverters with the efficiency of up to 99 % are used in grid-connected applications [6], while DC-DC converters could be used for maximum power point tracking (MPPT) at PV moduleor string-level [7], [8]
To provide the new values of parameters ISC and a, other outputs of the TwoPoints Procedure are the theoretical coordinates of the MPP, as in the case of the Three-Points Procedure
Summary
The technology of solar photovoltaic (PV) modules showed impressive developments in the past decades. This work demonstrated that measurements in three operating points proposed in [24] are needed only at the startup, once a day or when shading conditions are detected This assumption is based on the fact that some parameters of the photodiode model are virtually constant within a day due to the very slow degradation of PV modules [4], [5]. In fast varying conditions, the requirement of only two valid points of the i − v curve to identify the model parameters accurately enough is more probable resulting in a fast and more robust identification of the experimental MPP, which provides better efficiency than other methods.
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