Abstract

This work comprehensively demonstrates the performance analysis of Fuzzy Logic Controller (FLC) with Particle Swarm Optimization (PSO) Maximum Power Point Tracker (MPPT) algorithm on a stand-alone Photovoltaic (PV) applications systems. A PV panel, DC-DC Boost converter and resistive load was utilized as PV system. Three different MPPT algorithms were implemented in the converter. The result obtained from the converter was analyzed and compared to find the best algorithm to be used to identify the point in which maximum power can be achieve in a PV system. The objective is to reduce the time taken for the tracking of maximum power point of PV application system and minimize output power oscillation. The simulation was done by using MATLAB/Simulink with DC-DC Boost converter. The result shows that FLC method with PSO has achieved the fastest response time to track MPP and provide minimum oscillation compared to conventional P&O and FLC techniques.

Highlights

  • Greenhouse gases emission, global warming and environmental issues due to increasing electrical power generation have attracted the attention of researchers to explore extensively on renewable energy

  • Power electronic such as Buck, Boost or Buck-Boost converter are widely implemented in between PV panels and loads which able to control the seeking of maximum power point (MPP) and drawn maximum output power of PV panel which can be found and maintain the voltage exist

  • This converter known as Maximum PowerPoint Trackers (MPPTs) which can dominate the duty cycle of the the power electronic interfaces by an algorithm [3]

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Summary

Introduction

Greenhouse gases emission, global warming and environmental issues due to increasing electrical power generation have attracted the attention of researchers to explore extensively on renewable energy. PV system are divided into grid-connected, stand-alone and hybrid as discussed in [2] A factor such as loads impedance, solar irradiance intensity and temperature gives significant impact to the PV output power and leads to less effective of power generation. Power electronic such as Buck, Boost or Buck-Boost converter are widely implemented in between PV panels and loads which able to control the seeking of maximum power point (MPP) and drawn maximum output power of PV panel which can be found and maintain the voltage exist This converter known as Maximum PowerPoint Trackers (MPPTs) which can dominate the duty cycle of the the power electronic interfaces by an algorithm [3]. The MPPTs are vital technique in PV application because they can track the maximum power of PV output [2]. It is clear that, as increasing in irradiance level, the net output power increase while increase in ambient temperature, it non-linearly decreased [6][9]

Solar Panel
Fuzzy Rule Algorithm
System Configuration
Result & Discussion
Optimal Fuzzy Logic Controller
Findings
Conclusion
Full Text
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