scholarly journals High Efficiency Photovoltaic System with Fuzzy Logic Controller

2018 ◽  
Vol 21 (2) ◽  
pp. 60
Author(s):  
Branko Blanuša ◽  
Željko Ivanović ◽  
Branko Dokić
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
High Efficiency ◽  
Fuzzy Controller ◽  
Current Mode ◽  
Photovoltaic System ◽  
Maximum Efficiency ◽  
Switching Frequency ◽  
Pv System ◽  
Point Tracking

In this paper is presented high efficiency photovoltaic system (PV) with fuzzy logic controller. This system consists of PV panel, boost DC/DC converter and 24V DC load. Control module is realized with fuzzy controller. This controller has double function and it gives references for duty factor and switching frequency of the converter control signal. In this way the PV system works with applied maximum power point tracking (MPPT) method and switching frequency is changed on the way so the converter works with maximum efficiency in continuous current mode. Functionality of proposed model is tested through computer simulations in Matlab and on laboratory prototype.

scholarly journals Improving the dynamic performances of an MPPT controller for a Photovoltaic system using fuzzy logic

2021 ◽  
Vol 229 ◽  
pp. 01013
Author(s):  
Hassan Essakhi ◽  
Sadik Farhat ◽  
Mohamed Mediouni ◽  
Yahya Dbaghi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Controller ◽  
Photovoltaic System ◽  
Pv System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Dynamic Performances ◽  
Mppt Controller ◽  
Power Point

This paper deals with analysis, modeling, and simulation of a Photovoltaic (PV) system with an intelligent Maximum Power Point Tracking (MPPT) controller based on fuzzy logic and to compare the dynamic performances: rapidity and stability of a fuzzy controller with the traditional controller based on the “Perturb and Observe” algorithm (P&O). The system is simulated under Simulink/Matlab environment. The simulation results show that the fuzzy MPPT controller is faster and more stable during abrupt changes in irradiation values.

scholarly journals FPGA Implementation of a Robust MPPT of a Photovoltaic System Using a Fuzzy Logic Controller Based on Incremental and Conductance Algorithm

2019 ◽  
Vol 9 (4) ◽  
pp. 4322-4328 ◽  
Author(s):  
M. Y. Allani ◽  
D. Mezghani ◽  
F. Tadeo ◽  
A. Mami
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Buck Converter ◽  
Photovoltaic System ◽  
Frequency Noise ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Comparison Results ◽  
Power Point

Climate dependence requires robust control of the photovoltaic system. The current paper is divided in two main sections: the first part is dedicated to compare and evaluate the behaviors of three different maximum power point tracking (MPPT) techniques applied to photovoltaic energy systems, which are: incremental and conductance (IC), perturb and observe (P&O) and fuzzy logic controller (FLC) based on incremental and conductance. A model of a photovoltaic generator and DC/DC buck converter with different MPPT techniques is simulated and compared using Matlab/Simulink software. The comparison results show that the fuzzy controller is more effective in terms of response time, power loss and disturbances around the operating point. IC and P&O methods are effective but sensitive to high-frequency noise, less stable and present more oscillations around the PPM. In the second section, the FPGA platform is used to implement the proposed control. The FLC architecture is implemented on an FPGA Spartan 3E using the ISE Design Suite software. Simulation results showed the effectiveness of the proposed fuzzy logic controller.

scholarly journals Comparison between proposed fuzzy logic and ANFIS for MPPT control for photovoltaic system

2020 ◽  
Vol 11 (2) ◽  
pp. 1065
Author(s):  
Lotfi Farah ◽  
Adel Haddouche ◽  
Ali Haddouche
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Photovoltaic System ◽  
Pv System ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Neuro Fuzzy ◽  
Current Variation ◽  
Power Point

In this paper, a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is achieved based on fuzzy logic controller (FLC) and compared with an anfis (neuro-fuzzy) based mppt controller, this method allies the abilities of artificial neural networks in learning and the power of fuzzy logic to handle imprecise data. Both methods are simulated using matlab/ simulink. The choise of power variation and the current variation as inputs of the proposed controllersreducesthe calculation. Both FLC and ANFIS based MPPTare tested in terms of steady state performance and the pv system dynamic.

scholarly journals Hybrid PV and Wind Energy for Grid Connected System using SEPIC Converter

2019 ◽  
Vol 9 (2S4) ◽  
pp. 552-555
Keyword(s):  
Wind Energy ◽  
Fuzzy Logic Controller ◽  
High Efficiency ◽  
Synchronous Generator ◽  
Photovoltaic System ◽  
Pv System ◽  
Phase Inverter ◽  
Point Tracking ◽  
Three Phase ◽  
Three Phase Inverter

A hybrid generator is designed for both wind energy and photovoltaic system (PV) based on permanent magnet synchronous generator to maintain dc link voltage. In this paper, both the sources are connected with grid through a single ended primary inductor converter (SEPIC) and three phase inverter is followed by SEPIC converter. The fuzzy logic controller used to provide gate pulses for the converter and model predictive controller is providing pulses to three phase inverter which tracking the highest power from the wind and PV system. In the PV system the maximum power point tracking (MPPT) method is used to get higher power from the source. This new hybrid system operation is done by both the effective controllers and system steady is achieved. The integrated energy with high efficiency is directed to grid for distribution and the system is verified in Matlab/Simulink and simulation results are given with model.

Maximum Power Point Tracker Using Fuzzy Logic Controller with Reduced Rules

2018 ◽  
Vol 9 (3) ◽  
pp. 1381
Author(s):  
Adel Haddouche ◽  
Mohammed Kara ◽  
Lotfi Farah
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Good Alternative ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Practical Applications ◽  
Performance Improvements ◽  
Point Tracking ◽  
Power Point

<p><span lang="EN-US">This paper presents a fuzzy logic controller for maximum power point tracking (MPPT) in photovoltaic system with reduced number of rules instead of conventional 25 rules to make the system lighter which will improve the tracking speed and reduce the static error, engendering a global performance improvements. in this work the proposed system use the power variation and current variation as inputs to simplify the calculation, the introduced controller is connected to a conventional grid and simulated with MATLAB/SIMULINK. The simulation results shows a promising indication to adopt the introduced controller as an a good alternative  to traditional MPPT system for further practical applications</span></p>

scholarly journals An Intelligent Maximum Power Point Tracking Algorithm for Photovoltaic System

2018 ◽  
Vol 7 (4.35) ◽  
pp. 457
Author(s):  
M. I. Iman ◽  
M. F. Roslan ◽  
Pin Jern Ker ◽  
M. A. Hannan
Keyword(s):  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Resistive Load ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point

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.

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.

Control Strategy of Photovoltaic System to Regulate Active and Reactive Power during Unbalanced Grid Voltages by Using Fuzzy Logic Control

2018 ◽  
Vol 7 (4.24) ◽  
pp. 455
Author(s):  
Gujjala Trilokya ◽  
M.Rama sekhara Reddy
Keyword(s):  
Reactive Power ◽  
Fuzzy Controller ◽  
Electronic System ◽  
Photovoltaic System ◽  
Phase Voltage ◽  
Pv System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Set Up

The advanced reactive power regulation is planned to direct the highest and the voltages at least point of regular pairing inside the cutoff points set up in grid codes for consistent operation. These work displays a regulating technique to which the grid associated PV system meaning to direct the  power of both active and reactive infused to the electrical system amid the voltage faults that are uneven in nature. Fuzzy controller is propel controller which is for the most part appropriate for the personal fundamental guidance tool. which additionally gave the electronic system operation by the master choice. The reference of active power  is acquired from a Maximum Power Point Tracking (MPPT) calculation. The advanced force methodology creates the necessary reference currents that forced by the grid-tied inverter from the coveted P and Q powers and the deliberate voltage supply. In unequal voltage sags, positive and negative sequence KVAr are consolidated to adaptable boost and even out the phase voltages; maximum phase voltage is controlled below as far as possible and the base phase voltage simply over as far as possible. The plan is approved to a solitary step PV system where the currents that are  regulated by means of prescient control. By using the fuzzy controller for a nonlinear system which permit the decrease for the questionable impact in the system which control and impeccably enhance the effectiveness. Results demonstrating the execution of the procedure are introduced amid uneven  sags and swells.

scholarly journals Evaluation of Fuzzy Logic Subsets Effects on Maximum Power Point Tracking for Photovoltaic System

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Shahrooz Hajighorbani ◽  
M. A. M. Radzi ◽  
M. Z. A. Ab Kadir ◽  
S. Shafie ◽  
Razieh Khanaki ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Climate Conditions ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Photovoltaic system (PV) has nonlinear characteristics which are affected by changing the climate conditions and, in these characteristics, there is an operating point in which the maximum available power of PV is obtained. Fuzzy logic controller (FLC) is the artificial intelligent based maximum power point tracking (MPPT) method for obtaining the maximum power point (MPP). In this method, defining the logical rule and specific range of membership function has the significant effect on achieving the best and desirable results. This paper presents a detailed comparative survey of five general and main fuzzy logic subsets used for FLC technique in DC-DC boost converter. These rules and specific range of membership functions are implemented in the same system and the best fuzzy subset is obtained from the simulation results carried out in MATLAB. The proposed subset is able to track the maximum power point in minimum time with small oscillations and the highest system efficiency (95.7%). This investigation provides valuable results for all users who want to implement the reliable fuzzy logic subset for their works.

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