Abstract
This paper deals with the optimization of maximum power point tracking when a photovoltaic panel is modelled as two diodes. The adopted control is implemented using a sliding mode control (SMC) and the optimization is implemented using an improved Pattern Search Method. Thus, the problem of maximum power point tracking is reduced to an optimization problem whose solution is implemented by Pattern Search Techniques, inheriting their convergence properties. Simulation examples show the effectiveness of the proposed technique in practice, being able to deal with different radiations. In addition, improved pattern search method (IPSM) is compared with other techniques such as perturb & observe and Particle Swarm optimization, after which IPSM presents lower energy losses in comparison with the other two algorithms, with the advantage of ensuring the location of the optimal power point in all cases.
Highlights
The transformation of energy by means of photovoltaic panels has progressively aroused great interest due to the steady increase in oil prices, the environmental pollution caused by hydrocarbons, and a constant reduction in the prices of photovoltaic (PV) panels
We are applying the results from [49], since the maximum power point tracking (MPPT) problem has been formulated within an improved pattern search method (IPSM) frame and taking advantage of this technique in its applications to Power Control Theory
In the case of IPSM for 10 models, the oscillation around the maximum power point (MPP) is stopped quickly, since the variation of the power is lower than 3%
Summary
The transformation of energy by means of photovoltaic panels has progressively aroused great interest due to the steady increase in oil prices, the environmental pollution caused by hydrocarbons, and a constant reduction in the prices of photovoltaic (PV) panels. The availability of high-performance and affordable microcontrollers makes the implementation of these algorithms possible in practical situations These facts have boosted the research on soft computing-based approaches to tackle the MPPT problem. Some research has been based on modeling multi-junction solar cells to improve conversion efficiency In this manner, the multi-junction photovoltaic cell has been investigated to obtain its maximum performance compared to the conventional silicon PV cell, as presented in [26]. The present paper considers the modeling of a photovoltaic panel with two diodes This is to highlight that the system is controlled by the sliding mode controller formulated in [34], which is based on voltage error and input capacitor current. It is shown that the proposed approach presents lower energy losses in comparison with other two algorithms and the advantage of ensuring the MPPT in all cases simulated.
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