Open AccessController parameters tuning of PV Based on PSASP/UD by AGA
Author(s) -
Hua Ge,
Wang Chun,
Ladier Fa,
Linjun Shi
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/384/1/012054
Subject(s) - photovoltaic system , control theory (sociology) , maximum power point tracking , controller (irrigation) , inverter , computer science , genetic algorithm , grid , grid connection , maximum power principle , control engineering , engineering , control (management) , mathematics , voltage , artificial intelligence , biology , electrical engineering , agronomy , geometry , machine learning
Photovoltaic (PV) station generally adopts single-stage grid-connection inverter considering the cost and efficiency, and the controller parameters have great influence on the grid-connected performance of PV system. The PV array, maximum power point tracking (MPPT), the inverter and its control system models are built in PSASP/UD. The PI parameters of invert controller are tuned by adaptive genetic algorithm (AGA) and genetic algorithm (GA) respectively in single-machine infinite bus system (SMIBS) based on Simulink. Finally, single-machine infinite bus system (FMTAS) with PV based on PSASP/UD is used to verify the feasibility and effectiveness of models and validity of controller parameters.