Open AccessModeling and Simulation of MISO-Buck Converter Using ANFIS on DC Microgrid Distribution System
Author(s) -
R. P. Anggraini,
Mohammad Zaenal Efendi,
Farid Dwi Murdianto
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1096/1/012066
Subject(s) - microgrid , buck converter , computer science , control theory (sociology) , electrical engineering , engineering , renewable energy , artificial intelligence , control (management) , voltage
Currently, the development of the utilization of renewable energy sources such as solar energy and wind energy has increased significantly. Interconnecting grid with renewable energy sources combination is developed to increase power and reliability of the system. However, when the energy sources are combined there will be many configurations of power distribution from each source, moreover the power produced by the renewable energy is fluctuating while the load requires a stable voltage and energy continuously even though the supply sources is changes. Therefore, Effective energy management is required to regulate the power distribution of both energy sources automatically that can provide energy to the load continuously and optimally. In this paper a MISO- buck converter is proposed to combine several energy sources using ANFIS. The simulation results show that ANFIS can maintain the output voltage with a very small minimum error percentage only 0.023% and can achieve a faster settling time of 4.032 ms if we compare with PID that is 1.489% for the error percentage and 12.308 ms for the settling time.