{'fraction_non_alphanumeric': 0.011191047162270184, 'fraction_numerical': 0.005595523581135092, 'mean_word_length': 4.71689497716895, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A voltage sensing approach for a maximum power tracking in integrated photovoltaic applications

The main aim of this paper is the analysis and experimental evaluation of the performance of a photovoltaic power plant controlled by a dedicated algorithm. This is devoted to the search of the maximum power point during the energy conversion of the photovoltaic panels. The proposed approach uses a control strategy that does not requires the current sensing, which is a main cause of noises, errors and delays during the step by step detection of the working point. Modeling of both the power source and the switching converter is a key step for the implementation of the voltage sensing tracking routine. The proposed algorithm has been implemented in a 8-bit microcontroller. A SEPIC converter topology is the core of the experimental workbench that has been realized with 100W as rated power. The experimental analyses show a very low noise in the signal sensing and a very fast response of the whole system. This is able to reach suitable working points in less than 100ms after the a perturbation occurred. The achieved results led to consider this set-up appropriate for a system that is composed by a PV module and an integrated DC-DC converter.