Simulation and Experimental Verification of Intelligence MPPT Algorithms for Standalone Photovoltaic Systems

M Muthuramalingam,P.S Manoharan

doi:10.19026/rjaset.8.1152

Abstract

This study presents compared with Fuzzy Logic Control (FLC) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Maximum Power Point Tracking (MPPT) algorithms, in terms of parameters like tracking speed, power extraction, efficiency and harmonic analysis under various irradiation and cell temperature conditions of Photovoltaic (PV) system. The performance of a PV array are affected by temperature and solar irradiation, In fact, in this system, the experimental implementation and the MATLAB based simulations are In this topology, each Cascaded H-Bridge Inverter (CHBI) unit is connected to PV module through an Interleaved Soft Switching Boost Converter (ISSBC). It also offers another advantage such as lower ripple current and switching loss compared to the conventional boost converter. The results are evaluated by simulation and experimental implemented on a 150 W PV panel prototype with the microcontroller platform. The simulation and hardware results show that ANFIS algorithm is more efficient than the FLC algorithm.

Highlights

Photovoltaic energy has increased interest in electrical power applications, since it is considered as a fundamentally endless and generally available energy resource
Stand alone PV system: The block diagram of the proposed topology for Interleaved Soft Switching Boost Converter (ISSBC) and CHBMLI based stand-alone PV system is shown in Fig. 1, the inverter is fed from photovoltaic module through a DC-DC converter integrated with Fuzzy Logic Control (FLC) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Maximum Power Point Tracking (MPPT) algorithm
Simulation results: The SIMULINK software validates the performance of the MPPT techniques under different operating conditions

Summary

Introduction

Photovoltaic energy has increased interest in electrical power applications, since it is considered as a fundamentally endless and generally available energy resource. The output power induced in the photovoltaic modules depends on solar irradiance and temperature of the solar cells. To maximize the efficiency of the renewable energy system, it is compulsory to track the maximum power point of the PV array. This point is called the Maximum Power Point (MPP). The locus of this point has a nonlinear variation with solar irradiance (G) and the cell Temperature (T). In order to operate the PV array at its MPP, the PV system must include a Maximum Power Point Tracking (MPPT) controller (Gao et al, 2013)

Methods

Results

Conclusion