Open AccessFPGA-based Adaptive Variable Step MPPT Real Time Simulation for Photovoltaic Systems
Author(s) -
Ruxun He,
Shouxiang Wang,
Chunyu Zhang,
Qiufei Ma
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/645/1/012029
Subject(s) - maximum power point tracking , photovoltaic system , control theory (sociology) , field programmable gate array , maximum power principle , computer science , realization (probability) , modelsim , real time digital simulator , power (physics) , real time simulation , software , electric power system , simulation , engineering , voltage , control (management) , mathematics , computer hardware , electrical engineering , artificial intelligence , inverter , vhdl , quantum mechanics , programming language , statistics , physics
In order to obtain more output power, maximum power point tracking (MPPT) control technology is usually designed to track the maximum power of photovoltaic (PV) array. The traditional power disturbance observation method tends to cause power oscillation loss, so an adaptive variable step algorithm is presented to balance the tracking accuracy and speed of PV system. Different from off-line simulation, the overall model is built on FPGA to complete the real time digital realization of MPPT control for PV system. Finally, the model is simulated and verified by ModelSim software. The experimental results show that the system can track the maximum power more quickly and accurately in real time.