Soft Computing Techniques FUZZY and ANN based MPPT for Grid Tied PV

Abstract

Photovoltaic system (PV) are affected by fast changing irradiation and due these characteristics, there is an operating point in which the maximum available power of PV is obtained. Artificial Neural Network(ANN) and Fuzzy logic controller (FLC) is the artificial intelligent based maximum power point tracking (MPPT) method for obtaining the maximum power point (MPP). This paper presents a detailed comparative study between ANN Controller and FLC in DC-DC boost converter. Both method is implemented using ANN and Fuzzy logic toolbox of MATLAB and detailed model and results is carried out in SIMULINK. The both proposed method is able to track the maximum power point in minimum time with small oscillations and the highest system efficiency. This investigation provides valuable results for all users who want to implement the reliable ANN and fuzzy logic subset for their works.

Voltage Stabilization in PV based Buck Boost Converter Using Pi and FLC Controllers due to Input Voltage Variation

“…It is found that the ANN performs better than FLC as it is fast-moving and precise in tracking MPP. ANN has the efficiency of 99.86% and 98.93 kW power delivered to the grid while FLC has efficiency of 95.48% and 94.47 kW power delivered to the grid(Singh, Shahid, and AL-FALAH UNIVERSITY 2016).…”