Design and analysis of adaptive neuro-fuzzy inference system based MPPT technology

Abstract

Solar system is becoming more accepted renewable energy sources as it producing green energy, no noise pollution, environment friendly and low maintenance. The major cause of less efficiency of solar cells is because of the intermittent nature of solar energy. For the purpose of optimizing effectiveness of the control of solar system, an adaptive and intelligent maximum power extraction point tracking system is required. This paper presents an adaptive neuro fuzzy inference system (ANFIS) based MPPT technique, which is used to extract maximum power from the solar photovoltaic (SPV) array. Proposed ANFIS based MPPT method does not required any additional sensor to measure the illumination and the temperature. It is based on learning and validation principle. The SPV array performance using ANFIS-MPPT is validated using MATLAB/SIMULINK. Improved action or activity of the proposed MPPT technique performance is demonstrated by comparing with conventional incremental conductance (InC) based MPPT.