Open AccessMODELLING AND MEASUREMENT OF A PHOTOVOLTAIC CELL ARRAY MAXIMUM POWER POINT TRACKING SYSTEM FOR GREENHOUSE
Author(s) -
Liming Wei,
Luo JinXin,
Li BoHeng,
Xuerang Guo,
Bin Li
Publication year - 2019
Publication title -
inmateh - agricultural engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.31
H-Index - 9
eISSN - 2068-2239
pISSN - 2068-4215
DOI - 10.35633/inmateh-59-31
Subject(s) - maximum power point tracking , photovoltaic system , duty cycle , maximum power principle , power (physics) , computer science , point (geometry) , tracking (education) , greenhouse , control theory (sociology) , energy (signal processing) , electronic circuit , electronic engineering , automotive engineering , engineering , voltage , control (management) , electrical engineering , mathematics , inverter , artificial intelligence , psychology , pedagogy , statistics , physics , geometry , quantum mechanics , horticulture , biology
Maximum power point tracking (MPPT) strategy has been performed by experimental simulation and measurement in order to minimize the energy loss for photovoltaic greenhouse projects. Calculations and simulation of power prediction algorithm were carried out for obtaining the suitable parameters and duty cycle of the fuzzy control algorithm, to modulate output power in real-time. Experiments were carried out to evaluate the performance by using simulation and measurement involving corresponding circuits. Results of experiments demonstrate that the proposed method in this paper can achieve quicker response and less power loss than traditional method. The proposed algorithm can be adopted and optimized by carrying out further experiments for increasing the efficiency of solar energy utilization.