Investigation on Application of Novel Converters for Hybrid Renewable Energy Systems

The proposed three input step up DC-DC converter controlled by adaptive neuro-fuzzy interference system (ANFIS) for renewable hybrid energy resources inputs is presented in this study. ANFIS, a control algorithm technique by combining both fuzzy and artificial neural network operates in many electrical systems. ANFIS is developed in this converter to provide soft switching and the voltage at the output is regulated. Multi-input converters are the best alternative for implementing the hybrid sources and they utilize the entire usage of batteries and ultra-capacitors. The proposed converter fed from renewable energy resources operates efficiently with a load and provides higher voltage gain. The results are implemented in Simulink. Therefore, the proposed work system efficiency is about 98.21 % when compared to other converters fed from Renewable Energy Sources.