Global maximum power point tracking of photovoltaic module arrays based on an improved intelligent bat algorithm




HIGHLIGHTS
  • What: In this paper, two types of improved bat algorithms (IBA) are proposed. In this paper, MATLAB/Simulink was utilized to build the MPPT system for a PVMA, so the tracking results of the MPPT method proposed could be simulated.
  • Who: Kuei-Hsiang Chao and Thi Thanh Truc Bau from the Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung, Taiwan have published the research work: Global Maximum Power Point Tracking of Photovoltaic Module Arrays Based on an Improved Intelligent Bat Algorithm, in the Journal: Electronics 2024, 1207 of /2024/
  • How: In this paper a method based on an improved intelligent bat algorithm (IIBA) in cooperation with a voltage and current sensor was applied in maximum power point tracking (MPPT) for a photovoltaic module array (PVMA) where the power generation performance of a PVMA was enhanced. In light of this in this study traditional bat algorithms are applied to the photovoltaic array to carry out maximum power point tracking but they are further improved so that they not only increase tracking speed but also do not fall into the local maximum power point thus simultaneously improving dynamic tracking response and steady-state performance.
  • Future: The future research direction is to apply it to an actual photovoltaic power generation site to track the global maximum point and further validate its tracking performance.
SUMMARY

    Although these conventional methods could track maximum power point (MPP) when a PVMA functions normally, once partial shading or faults occur in the PVMA and produce a P-V curve with multi-peak values, the global maximum power point (GMPP) might not be tracked, where only the local maximum power point (LMPP) could be tracked. Simulation simulation in Table 5 discuss the requirements for quantifying tracking using various in resultsininTable Tableresults discuss the tracking using various intelligent results 55 discuss the requirements requirementsfor forquantifying quantifying tracking using various intelligent maximum tracking point tracking techniques. maximum tracking point tracking techniques. gent maximum tracking point tracking techniques. In light of this, in this study, traditional bat algorithms are applied to the photovoltaic array to carry out maximum power point tracking, but they are further improved so that they not only increase tracking speed but also do not fall into the local maximum power point, thus simultaneously improving dynamic tracking response and steady-state performance. By adjusting the tracking pace of the conventional BA according to the gradient of the P-V curve, the initial tracking voltage was simultaneously set at 0.8 times (i.e., V st=0.8 V mp ) the maximum power of a PVMA under STCs. Compared to the conventional BA, the IIBA proposed did not only have better speed in tracking response, but it could also reduce the power loss during the tracking process, which further enhanced the power generation efficiency. The future research direction is to apply it to an actual photovoltaic power generation site to track the global maximum point and further validate its tracking performance. @@

LAY DEFINITIONS
  • Genetic algorithm: In computer science and operations research, a genetic algorithm is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms. Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection
  • Module: In mathematics, a module is one of the fundamental algebraic structures used in abstract algebra. A module over a ring is a generalization of the notion of vector space over a field, wherein the corresponding scalars are the elements of an arbitrary given ring and a multiplication is defined between elements of the ring and elements of the module
  • Maximum power point tracking: Maximum power point tracking (MPPT) or sometimes just power point tracking (PPT) is a technique used commonly with wind turbines and photovoltaic solar systems to maximize power extraction under all conditions. Although it primarily applies to solar power, the principle applies generally to sources with variable power: for example, optical power transmission and thermophotovoltaics
  • Bat algorithm: The Bat algorithm is a metaheuristic algorithm for global optimization. It was inspired by the echolocation behaviour of microbats, with varying pulse rates of emission and loudness

Licence: cc-by

Site reference: https://www.mdpi.com/2079-9292/13/7/1207/pdf?version=1711381856

DOI reference: https://www.doi.org/10.3390/electronics13071207

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source https://magazine.sciencepod.net/global-maximum-power-point-tracking-of-photovoltaic-module-arrays-based-on-an-improved-intelligent-bat-algorithm/

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