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• W4386768209 abstract "This paper illustrates the comparison between perturb and observe (P&O), horse herd optimization (HHO), and gray wolf optimization (GWO) for exploring the qualitative parameters of the optimization techniques in terms of oscillations, settling time, and convergence to global maximum power point (GMPP), tracking speed, and power tracking efficiency. The two dynamic input characteristics of the PV system are irradiance and cell temperature. These dynamic features of the PV system are used here as different case studies for examining the efficiency of HHO and further compared with P&O and GWO. P&O is a conventional technique which fails to track the GMPP, but GWO and HHO are efficient enough to track the GMPP, and the main aim behind this research work is to check the performance of the above-mentioned bio-inspired techniques. For validating the effectiveness of the HHO algorithm in PV-based MPPT technique, the obtained quantitative parameters of this technique is compared with P&O and GWO." @default.
• W4386768209 created "2023-09-16" @default.
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• W4386768209 date "2023-01-01" @default.
• W4386768209 modified "2023-09-27" @default.
• W4386768209 title "Standalone PV System by Using Bio-Inspired Based MPPT Technique" @default.
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• W4386768209 doi "https://doi.org/10.1007/978-981-99-4175-9_35" @default.
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