Implementation of Harris Hawk Optimizer for detection of Fault in PV module

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)(2022)

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摘要
Uncleared electric faults in photovoltaic (PV) arrays can lead to quality degradation, power outages, and fire dangers, among other things. This paper proposed Harris Hawk Optimization (HHO) method for detecting the faults in the solar panel with less number of generations. Moreover, the designed HHO technique is faster fault detection process as compared to other existing methods such as Fast Fourier Transform (FFT), and Convolutional Neural Network (CNN).
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关键词
Synthetic Data (SD,Crossover Factor,Pattern Search (PS),Absolute Error
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