Optimization Technique Based Fuzzy Logic Controller for MPPT of Solar PV System

2018 ◽  
Author(s):  
Swarup Kumar Saha ◽  
Jaipal
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Optimization Technique ◽  
Solar Pv ◽  
Pv System ◽  
Solar Pv System

scholarly journals Design of Robust Fuzzy Logic Controller Based on the Levenberg Marquardt Algorithm and Fault Ride Trough Strategies for a Grid-Connected PV System

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 429 ◽  
Author(s):  
Islam ◽  
Zeb ◽  
Din ◽  
Khan ◽  
Ishfaq ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fault Tolerant ◽  
Optimization Technique ◽  
Line Length ◽  
Photovoltaic System ◽  
Pv System ◽  
Simulink Model ◽  
Marquardt Algorithm ◽  
Levenberg Marquardt

This paper emphasizes the design and investigation of a new optimization scheme for a grid-connected photovoltaic system (PVS) under unbalance faults. The proposed scheme includes fuzzy logic controller (FLC) based on the Levenberg–Marquardt (LM) optimization technique in coordination with bridge-type-fault-current limiter (BFCL) as the fault ride through (FRT) Strategy. The LM optimization-based control is an iterative process with a fast and robust response and is always convergent. The BFCL reduces the fault currents to rated values without compromising at ripples. A keen and critical comparison of the designed strategy is carried out with a conventionally tuned proportional-integral (PI) controller in coordination with the crowbar FRT strategy. A 100kW MATLAB/Simulink model of a photovoltaic system is used for simulation and analysis of unbalance faults at the point of common-coupling (PCC) and at 5 km away from PCC. It is found that grid-connected PVS is highly influenced by the fault type and less effected by the distribution line length. The simulation results authenticated smooth, stable, ripples with free, robust, and fault-tolerant behavior of the proposed scheme.

scholarly journals A comparison of two automatic solar tracking algorithms

2020 ◽  
Vol 152 ◽  
pp. 02009
Author(s):  
Motlatsi Lehloka ◽  
James Swart ◽  
Pierre Hertzog
Keyword(s):  
Fuzzy Logic ◽  
Fossil Fuels ◽  
Global Climate ◽  
Clean Energy ◽  
The Sun ◽  
Solar Pv ◽  
Pv System ◽  
Pv Module ◽  
Solar Pv System ◽  
Fixed Axis

Due to global climate change as a result of pollution caused by the burning of fossil fuels, the world has changed its view when it comes to power generation. The focus is now more on natural and clean energy, such as solar PV systems. An effective solar PV system is not a simple system, as the sun is not a stationery object. The sun moves from east to west daily and that makes the design and installation of an effective solar PV system challenging for optimal power harvesting. The purpose of this paper is to compare two algorithms (linear regression and fuzzy logic) that are applied to a dual-axis tracker in order to maximize the output power yield that may be obtained from a fixed-axis system. One fixed-axis PV module serves as the baseline for comparing the results of the dual-axis trackers that are controlled by the two algorithms. A key recommendation is to align a PV module perpendicular to the sun from sunrise to sunset using a control algorithm based on fuzzy logic principles in order to extract the maximum amount of available energy.

scholarly journals Stand-alone PV system with MPPT function based on fuzzy logic control for remote building applications

2019 ◽  
Vol 10 (2) ◽  
pp. 842 ◽  
Author(s):  
Hussain A. Attia ◽  
Fernando DelAma Gonzalo
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Fuzzy Logic Controller ◽  
Electrical Power ◽  
Good Alternative ◽  
Solar Pv ◽  
Pv System ◽  
Single Phase Inverter ◽  
And Performance ◽  
Power Point

<p align="LEFT"><span>Due to the limitations of reaching the grid utility to remote area, such as rural and/or countryside areas.  Stand-alone photovoltaic power systems represent good alternative that it can be adapted for electrical power delivering to these areas. In this paper, a new design of stand-alone solar system suitable for individual building application is presented. This study focuses on proposing a desired solar PV panels matrix arrangement and connection, in addition to presenting an accurate design of Buck-Boost DC-DC converter which controlled by fuzzy logic controller FLC. The controller guarantees the maximum Power Point working conditions and manipulates the fluctuation of the DC link voltage of the matrix due to the weather changing. The main system includes battery bank charger, single phase inverter, and passive power filter. This study addresses the design and performance analysis the DC side of the 7.85 kW PV system. The system performance is evaluated through MATLAB/Simulink results which reflected the promising indications as an effective system for rural individual stand-alone building applications. </span></p>

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