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ANFIS controlled fuel cell powered series active filter for voltage waveform augmentation in the distribution grid

Publication Type : Journal Article

Publisher : Elsevier BV

Source : e-Prime - Advances in Electrical Engineering, Electronics and Energy

Url : https://doi.org/10.1016/j.prime.2024.100425

Keywords : Proton exchange membrane fuel cell, Series active filter, Adaptive neuro-fuzzy inference system control, Voltage stability

Campus : Coimbatore

School : School of Artificial Intelligence

Year : 2024

Abstract : The high penetration of nonlinear and unstable loads into the grid network severely impacts the quality of power delivered by the grid system. Furthermore, it leads to a disruptive situation of maintaining good quality power in the distribution sectors. Consequently, maintaining a good quality of power is very difficult on the power distribution grid. In this proposed work, the Proton exchange membrane Fuel Cell sustained by a three-phase Series Active Filter (PFC-SAF) is employed to enhance the quality of sensitive load voltage in the distribution grid. The generalized bell-shaped membership function based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) is used to generate the reference voltage signals of the PFC-SAF. The proposed system is modelled and analyzed in a Matlab/Simulink environment. The performance of the PFC-SAF is investigated based on various fault conditions and voltage harmonics. From the obtained results, it has been found that the PFC-SAF effectively regulates the voltage in the distribution grid. Also, the total harmonic distortion of the sensitive load voltage is reduced from 20.86 % to 0.55 %.

Cite this Research Publication : Sathish Babu P, Balasundar C, Sundarabalan CK, ANFIS controlled fuel cell powered series active filter for voltage waveform augmentation in the distribution grid, e-Prime - Advances in Electrical Engineering, Electronics and Energy, Elsevier BV, 2024, https://doi.org/10.1016/j.prime.2024.100425

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