PERFORMANCE ANALYSIS ON ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) BASED MPPT CONTROLLER FOR DC-DC CONVERTER FOR STANDALONE SOLAR ENERGY GENERATION SYSTEM

Bhumika . Badvaji; Raunak . Jangid; Kapil . Parikh

doi:10.30780/IJTRS.V07.I06.003

Bhumika . Badvaji Department of Electrical Engineering, SITE Nathdwara, Rajasthan, India
Raunak . Jangid Department of Electrical Engineering, SITE Nathdwara, Rajasthan, India
Kapil . Parikh Department of Electrical Engineering, SITE Nathdwara, Rajasthan, India

DOI: https://doi.org/10.30780/IJTRS.V07.I06.003

Keywords: ANFIS, MPPT, DC to DC boost converter.

Abstract

This paper presents the development and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller for a DC to DC converter. The proposed system consists of 2.0 kW PV array, DC to DC boost converter and load. The proposed algorithm has advantages of neural and fuzzy networks. To enhance of converter performance, Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller is used. In order to demonstrate the proposed ANFIS controller abilities to follow the reference voltage and current, its performance is simulated and compared with Artificial Intelligence Technique based MPPT controller. Simulation results show that for a wide range of input irradiance, Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller shows improved performance than the Artificial Intelligence Technique based MPPT controller with at various operating conditions.