Abstract
Photovoltaic systems under partial shading conditions (PSC) need to operate at the global maximum power point (GMPP) to extract the maximum possible power. Partial shading is characterized by the exhibition of a multi-peaked behavior in the voltage power (P-V) curve. Hence, there are several methods capable of extracting the GMPP from a multi-peaked P-V curve with various distinct characteristics. However, it is important that these techniques have fast dynamic responses to reduce power losses during the GMPP searching process. To fill this very important research gap by improving performance, an efficient hybrid global maximum power point tracking (GMPPT) technique combining a fast double-diode model-based technique and the classic Perturb and Observe (P&O) is proposed. The double-diode model used was modeled for a large number of series and parallel connected modules in a shaded photovoltaic array, which can be used as a valuable tool in the practical evaluation of a photovoltaic installation under PSC. The proposed method accurately tracks the global maximum power point at any operation point with good tracking speed and excellent efficiency. In addition, simulation and experimental results are presented to demonstrate its performance and comparative results with two other GMPPT techniques.
Highlights
The worldwide growth of photovoltaic (PV) systems has been exponential in the last years
Conventional maximum power point tracking (MPPT) techniques implemented in the PV inverters, such as Perturbation and Observation (P&O) [2] and Incremental Conductance (INC) methods [3], can track the MPP, avoiding other energy loss than the one caused by the shadow itself
This paper proposes an hybrid global maximum power point tracking (GMPPT) technique that combines the high speed and good precision characteristics of a model-based algorithm based on a built-in double-diode model and the high accuracy in locating the global maximum power point (GMPP) characteristic of a heuristic algorithm
Summary
The worldwide growth of photovoltaic (PV) systems has been exponential in the last years. When using the built-in simplified single-diode model in the model-based algorithm of an hybrid technique, the error in power generated by the incorrect estimation of the GMPP is responsible to increase considerably the convergence time of the heuristic algorithm when tracking the real GMPP. Voltage and current of each physical PV module in a string, it is possible to estimate their respective irradiance values and calculate the parameters (5)(12) in order to build their respective virtual P-V curves. The voltage and current values are not required, since the model parameters shown in (4)-(12) need only the temperature and solar irradiance values on each module
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