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A resilient approach for optimizing power quality in grid integrated solar photovoltaic with asymmetric 15-level inverter
Solar photovoltaic system is a significant source of power generation and its production are impacted by changing weather and other environmental conditions. A possible option for achieving high power even under changeable situations is the multilevel inverter. However, to achieve more levels of vol...
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Published in: | Computers & electrical engineering 2024-05, Vol.116, p.109211, Article 109211 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Solar photovoltaic system is a significant source of power generation and its production are impacted by changing weather and other environmental conditions. A possible option for achieving high power even under changeable situations is the multilevel inverter. However, to achieve more levels of voltages the conventional inverter increases the complexity and losses. Although, in some inverter topologies, fewer switches are required to operate at various switching angles which results in power quality. Several optimization strategies have been published; however, they are not appropriate for removing the harmonics. For resolving these issues, a hybrid technique is proposed in grid-connected solar photovoltaic system with asymmetric fifteen-level inverter. The research proposes a hybrid technique utilizing the Aquila optimizer and fuzzy logic controller. When solar irradiation varies, the Aquila optimizer is employed for maximum power tracking in the solar photovoltaic system. It aims to enhance the effectiveness of the solar photovoltaic system and extract the maximum available power. Meanwhile, the fuzzy logic controller is utilized to regulate the input of the multilevel inverter, thus controlling its output. The proposed technique performance analysis is executed in the MATLAB platform and compared with other topologies. The grid current harmonics for all cases are found to be 0.01%, 0.06% and 0.40%, respectively. |
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ISSN: | 0045-7906 1879-0755 |
DOI: | 10.1016/j.compeleceng.2024.109211 |