Open AccessOptimizing of the installed capacity of hybrid renewable energy with a modified MPPT model
Author(s) -
Sukarno Budi Utomo,
Iwan Setiawan,
Berkah Fajar,
S. H. Winoto,
Arief Marwanto
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i1.pp73-81
Subject(s) - maximum power point tracking , photovoltaic system , automotive engineering , maximum power principle , environmental science , renewable energy , turbine , battery (electricity) , wind power , wind speed , hybrid system , controller (irrigation) , hybrid power , computer science , power (physics) , control theory (sociology) , electrical engineering , meteorology , engineering , voltage , control (management) , physics , aerospace engineering , inverter , agronomy , quantum mechanics , machine learning , artificial intelligence , biology
The lack of wind speed capacity and the emission of photons from sunlight are the problem in a hybrid system of photovoltaic (PV) panels and wind turbines. To overcome this shortcoming, the incremental conductance (IC) algorithm is applied that could control the converter work cycle and the switching of the buck boost therefore maximum efficiency of maximum power point tracking (MPPT) is reached. The operation of the PV-wind hybrid system, consisting of a 100 W PV array device and a 400 W wind subsystem, 12 V/100 Ah battery energy storage and LED, the PV-wind system requires a hybrid controller for battery charging and usage and load lamp and it’s conducted in experimental setup. The experimental has shown that an average increase in power generated was 38.8% compared to a single system of PV panels or a single wind turbine sub-system. Therefore, the potential opportunities for increasing power production in the tropics wheather could be carried out and applied with this model.