Abstract
Photovoltaic (PV) systems represent a clean, renewable source of energy that has non-linear current-voltage (I-V) and power-voltage (P-V) characteristics. To increase the efficiency, a PV system must operate at the maximum power point (MPP) to produce the maximum available power. Under uniform conditions, there is only a single MPP in the P-V curve of a PV system; however, determining the MPP is more complicated under partially shaded conditions (PSCs) because multiple peak power points exist. In recent years, various studies have been performed to obtain the highest peak power point under PSCs, which is referred to as the global maximum power point (GMPP). In this paper, a novel method based on mathematical analysis that reduces the search zone and simultaneously identifies the possible MPPs in the specified zone is proposed; this proposed method is called the dual search maximum power point (DSMPP) algorithm. To evaluate the effectiveness of the proposed method, simulation and hardware implementations are carried out. The results show that the search time of GMPP is significantly reduced and the GMPP is detected in the minimum amount of time with high accuracy and minimum oscillation in the power produced.
Highlights
Fossil fuels are sources of non-renewable energy that are finite; as a result, the sources of fossil fuels will eventually become depleted, resulting in a high cost of fuel while affecting the environment, in terms of global warming
To evaluate the operation of the proposed algorithm, different complicated scenarios of shadowing are considered for simulation and practical parts in order to evaluate the operation of the dual search maximum power point (DSMPP), which cover almost all of the shapes of the P-V curve under partially shaded conditions (PSCs)
Under PSCs in which multiple peak power points exist in the P-V curve of a PV array, conventional methods cannot detect the global maximum power point (GMPP)
Summary
Fossil fuels are sources of non-renewable energy that are finite; as a result, the sources of fossil fuels will eventually become depleted, resulting in a high cost of fuel while affecting the environment, in terms of global warming. By considering all of the advantages and drawbacks of the abovementioned conditions for finding the GMPP, a new method based on mathematical analysis for reducing the search zone and identifying the GMPP in the minimum amount of time is proposed. In this method, when partial shading occurs, the new reference voltage is calculated by a modified linear function that reduces the search zone, and the system begins to search for possible MPPs. when the potential location of the GMPP is recognized, the modified P & O method which is based on the adjusting duty cycle by step-size variation is implemented to obtain the GMPP. The last section summarizes the findings obtained by implementing the proposed method
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