Artificial intelligent fuzzy control and LAPO algorithm for enhancement LVRT and power quality of grid connected PV/wind hybrid systems

Noura G. EL Sayed, Ali M. Yousef, Gaber El-Saady, Meshari D. Alanazi, Hamdy A. Ziedan, Montaser Abdelsattar · 2024

Read Artificial intelligent fuzzy control and LAPO algorithm for enhancement LVRT and power quality of grid connected PV/wind hybrid systems by Noura G. EL Sayed, Ali M. Yousef, Gaber El-Saady, Meshari D. Alanazi, Hamdy A. Ziedan, Montaser Abdelsattar (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11649785.txt.

Description

Noura El Sayed and five co-authors improve fault ride-through for a grid tied to solar and wind power. Low voltage ride through fails when faults drag grid voltage down, a serious risk for hybrid plants. Their system joins a 1 MW photovoltaic station and a 9 MW doubly fed induction generator wind farm. A 48-pulse STATCOM at the connection bus injects reactive power to hold voltage during faults.

The STATCOM was run under a classic PID controller and under a fuzzy logic controller tuned by the LAPO optimization algorithm. Simulations in Matlab and Simulink compare the two controllers on voltage support and power quality. The work aims to keep hybrid plants stable and connected through grid disturbances.

Catalog record

CREATORNoura G. EL Sayed, Ali M. Yousef, Gaber El-Saady, Meshari D. Alanazi, Hamdy A. Ziedan, Montaser Abdelsattar
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE71 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11649785

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