TY - JOUR
T1 - Analysis of the different maximum power point tracking strategies in a load-connected photovoltaic system
AU - Yuhan, Zhao
AU - Farzaneh, Hooman
N1 - Publisher Copyright:
© 2023 Kyushu University. All rights reserved.
PY - 2022
Y1 - 2022
N2 - For the past few years, solar energy has been widely applied in renewable energy systems. Maximum Power Point Tracking (MPPT) indicates one of the essential techniques for enhancing the efficiency of photovoltaic (PV) systems. Therefore, a high-efficiency method that can be accurate and fast-track the maximum power point (MPP) of PV is eagerly desired. In this paper, four different MPPT methods are compared in MATLAB/Simulink, which include two conventional methods: Perturbation and observation (P&O) and Incremental conductance (INC), one advanced intelligent method: Fuzzy logic (FLC), and one improved fuzzy logic-based variable step INC (FL-INC). The goal of this study is to find the more superior MPPT. According to the simulation result, FL-INC can enhance the output power by more than 6%, reducing the convergence time with fewer oscillations.
AB - For the past few years, solar energy has been widely applied in renewable energy systems. Maximum Power Point Tracking (MPPT) indicates one of the essential techniques for enhancing the efficiency of photovoltaic (PV) systems. Therefore, a high-efficiency method that can be accurate and fast-track the maximum power point (MPP) of PV is eagerly desired. In this paper, four different MPPT methods are compared in MATLAB/Simulink, which include two conventional methods: Perturbation and observation (P&O) and Incremental conductance (INC), one advanced intelligent method: Fuzzy logic (FLC), and one improved fuzzy logic-based variable step INC (FL-INC). The goal of this study is to find the more superior MPPT. According to the simulation result, FL-INC can enhance the output power by more than 6%, reducing the convergence time with fewer oscillations.
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U2 - 10.5109/5909054
DO - 10.5109/5909054
M3 - Conference article
AN - SCOPUS:85171829663
SN - 2434-1436
SP - 1
EP - 6
JO - International Exchange and Innovation Conference on Engineering and Sciences
JF - International Exchange and Innovation Conference on Engineering and Sciences
T2 - 8th International Exchange and Innovation Conference on Engineering and Sciences, IEICES 2022
Y2 - 20 October 2022 through 21 October 2022
ER -
