Abstract
In this paper, we propose enhanced adaptive step size Perturb and Observe (P&O) maximum power point tracking (MPPT) with properly organized comparison sequences which lead to achieving the actual maximum power point (MPP) effectively in the presence of partial shading conditions, taking into account the optimization of all aspects of high-performance MPPT to be novel, simpler, fast, and accurate, with the best efficiency reaching up to almost 100%. In this study, the proposed algorithm, along with a boost converter, was designed and simulated in MATLAB/Simulink to validate the performance of the suggested technique. Four different levels of partial shading conditions were considered for system examination: weak, moderate, and two different levels of strong shading. Each case was applied separately first and then combined in a sequence arrangement to provide robust and comprehensive testing which can provide a guaranteed assessment of the proposed algorithm. The performance of the suggested technique is discussed and compared with that of conventional P&O and conventional incremental conductance (IC) MPPT techniques. The failure of the conventional techniques to work efficiently in the presence of partial shading conditions was observed from the simulation results. Meanwhile, the success of the proposed technique and its high performance were clearly confirmed under partial shading conditions with no increase in complexity or convergence time.
Highlights
Photovoltaic (PV) energy has grown enough to be the most processed sustainable energy source that could be considered as a substitute for fossil-fuel energy, as it is inexpensive, clean, requires little maintenance, and emits no noise, among other properties
PV systems can work under both uniform irradiance and partially shaded conditions; in the presence of partial shading conditions, the PV array P–V curve contains numerous power peaks which are called the local maximum power points (LMPPs), while the peak of the highest power is known as the global maximum power point (GMPP)
Conclusions can track the GMPP effectively under partial shading conditions was presented in this paper
Summary
Photovoltaic (PV) energy has grown enough to be the most processed sustainable energy source that could be considered as a substitute for fossil-fuel energy, as it is inexpensive, clean, requires little maintenance, and emits no noise, among other properties. PV—like most of the approaches for harvesting clean and sustainable solar energy, such as photocatalysis, electrocatalysis, and photo-electrocatalysis—has non-steady energy extraction [2] and is affected by conditions such as illumination, temperature, and panel age [2,3,4,5]. PV systems can work under both uniform irradiance and partially shaded conditions; in the presence of partial shading conditions, the PV array P–V curve contains numerous power peaks which are called the local maximum power points (LMPPs), while the peak of the highest power is known as the global maximum power point (GMPP). The common target is to maximize the efficiency of the PV system by keeping the PV module at its maximum power operation [6], and for that reason, a maximum power point tracking (MPPT) method is essential to control such problems and check whether the PV system operates at the MPP [7].
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