Open AccessSolar Energy Hybrid Control System Design Photovoltaic Using Fuzzy Logic Controller
Author(s) -
Ramadan Salem Ramadan
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 - 10.1088/1755-1315/819/1/012028
Subject(s) - photovoltaic system , battery (electricity) , state of charge , fuzzy logic , electricity , control theory (sociology) , controller (irrigation) , fuzzy control system , charge controller , computer science , engineering , automotive engineering , control engineering , electrical engineering , control (management) , power (physics) , physics , agronomy , quantum mechanics , artificial intelligence , biology
Design of hybrid control system of solar energy and State Electricity Company electrical energy using fuzzy logic controller aimed to set the time switch control with State Electricity Company electrical energy. The control system uses fuzzy logic to control when the dynamic load is supplied by the solar array and when supplied by a source of electricity. Input of fuzzy logic is the intensity of sunlight, the load current and the percentage of state of charge of the battery. The output of the fuzzy logic is a dynamic load of electricity supplied by the source. Switch on time is dependent on the three input. Results of experiments with the initial battery state of charge by 25%, switch control on at the time outside the peak load and can maintain the condition of the battery state of charge between 20-90%. Daily load changes of ± 20% does not affect the performance of the switch control (works well).