Improved LVRT Performance of PV Power Plant Using Recurrent Wavelet Fuzzy Neural Network Control for Weak Grid Conditions

Improved LVRT Performance of PV Power Plant Using Recurrent Wavelet Fuzzy Neural Network Control for Weak Grid Conditions

An intelligent control method using recurrent wavelet fuzzy neural network (RWFNN) is proposed to improve the low-voltage ride through (LVRT) performance of a two-stage photovoltaic (PV) power plant under grid faults for the weak grid conditions. The PV power plant comprises an interleaved DC/DC con...

Full description

Bibliographic Details
Main Authors: Faa-Jeng Lin, Kuang-Hsiung Tan, Wen-Chou Luo, Guo-Deng Xiao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
PV power plant
interleaved DC/DC converter
short-circuit ratio
weak grid
wavelet fuzzy neural network
three-level neutral-point clamped inverter
Online Access:https://ieeexplore.ieee.org/document/9052697/

Internet

https://ieeexplore.ieee.org/document/9052697/

Similar Items