Photovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic

2016 ◽  
Vol 7 (4) ◽  
pp. 1283 ◽  
Author(s):  
Meryem Oudda ◽  
Abdeldjebar Hazzab
Keyword(s):  
Fuzzy Logic ◽  
Duty Cycle ◽  
Output Voltage ◽  
Fuzzy Logic Controller ◽  
Photovoltaic System ◽  
Utilization Efficiency ◽  
Solar Pv ◽  
Solar Panels ◽  
Dc Bus ◽  
Bus Voltage

<span lang="EN-US">In this work, a fuzzy logic controller is used to control the output voltage of a photovoltaic system with a DC-DC converter; type Single Ended Primary Inductor Converter (SEPIC). The system is designed for 210 W solar PV (SCHOTT 210) panel and to feed an average demand of 78 W. This system includes solar panels, SEPIC converter and fuzzy logic controller. The SEPIC converter provides a constant DC bus voltage and its duty cycle controlled by the fuzzy logic controller which is needed to improve PV panel’s utilization efficiency. A fuzzy logic controller (FLC) is also used to generate the PWM signal for the SEPIC converter. </span>

scholarly journals Fuzzy Based MPPT Controller For Solar Photovoltaic Systems

2021 ◽  
pp. 359-370
Author(s):  
Sabitha M ◽  
Dr. K. Ranjith Kumar
Keyword(s):  
Fuzzy Logic ◽  
Duty Cycle ◽  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Operating Conditions ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Duty Ratio ◽  
Solar Pv ◽  
Pv Array

In this work, a Fuzzy Logic Control (FLC) based MPPT technique is proposed to improve the performance of a stand-alone solar energy system. The Fuzzy logic controller is used as an intelligent way of tracking the maximum power point (MPP). The Taguchi method is adopted in this study to analyze multiple operating conditions of solar PV array. Solar PV output changes with Atmospheric conditions. The change in PV Current and Power are measured and fed to the Fuzzy logic controller as input. The Fuzzy controller is designed with 25 fuzzy rules and the Mamdani fuzzy inference is performed to obtain the aggregation which will be defuzzified by Center of gravity method. Based on the change in PV Current and Power, the Fuzzy logic controller generate the duty cycle for the boost converter (DC-DC converter). The variation of the duty cycle is from 0 to 1. The signal of change in duty ratio from the Fuzzy logic MPPT algorithm is fed to the PWM for switching the IGBT to dynamically update the duty cycle of the boost converter for extracting the maximum power from the solar PV array. A stand-alone Photovoltaic system with a boost converter is simulated in MATLAB Simulink to demonstrate the results and applicability of the proposed method.

A new Fuzzy Logic architecture to control the DC-bus voltage in grid connected photovoltaic system

2019 ◽  
Author(s):  
Ilham Nassar-Eddine ◽  
Abdellatif Obbadi ◽  
Karima Et-Torabi ◽  
Hamza Mokhliss ◽  
Assiya Elamiri ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Photovoltaic System ◽  
Dc Bus ◽  
Bus Voltage

MPPT of Wind Generation for DC Microgrid

2013 ◽  
Vol 448-453 ◽  
pp. 1802-1805 ◽  
Author(s):  
Yuan Sheng Xiong ◽  
Su Xiang Qian ◽  
Qing Song Liu ◽  
Yan Zhan
Keyword(s):  
Duty Cycle ◽  
Output Voltage ◽  
Maximum Output Power ◽  
Boost Converter ◽  
Wind Generation ◽  
Maximum Output ◽  
Output Current ◽  
Dc Microgrid ◽  
Dc Bus ◽  
Bus Voltage

In order to maintain the maximum output power of the WGS (Wind generation system) for all wind speed conditions, a boost converter is used as the power interface between the WGS and DC microgrid. Traditional method is to directly measure the real-time output voltage and current of WGS by sensors. Considering the DC bus voltage is actually stable, the output voltage can be computed by the duty cycle of boost converter and the stable DC bus voltage. A MPPT method is proposed, which only measures the output current of WGS. The output scale power can be obtained by the output current and the duty cycle, and then the perturbation and observation method is executed. A number of voltage sensors and associated circuitry are cancelled. It reduces the interference and system cost and improves the system reliability. Simulation results with PSIM prove the validity of the proposed method.

scholarly journals New Optimized Control of Cascaded Multilevel Converters for Grid Tied Photovoltaic Power Generation

2021 ◽  
Vol 54 (5) ◽  
pp. 769-776
Author(s):  
Karima Benamrane ◽  
Thameur Abdelkrim ◽  
Benlahbib Benlahbib ◽  
Noureddine Bouarroudj ◽  
Abdelhalim Borni ◽  
...  
Keyword(s):  
Duty Cycle ◽  
Fuzzy Logic Controller ◽  
Pulse Width Modulation ◽  
Multilevel Converters ◽  
Pi Regulator ◽  
Duty Cycles ◽  
Dc Bus ◽  
Bus Voltage ◽  
Two Stages

This paper proposes a new optimized control of photovoltaic two stages conversion cascade composed by Three Levels Boost (TLB) and Three Levels Neutral Point Clamped (TLNPC) inverter. In order to extract the maximum power from photovoltaic generator and get a balanced DC bus voltage, the duty cycles of the two TLB switches are determinate from a Fuzzy Logic Controller (FLC) for the first switch and by adding to the first duty cycle an additional duty cycle obtained by integration of the error between the two capacitors voltages of DC bus. Balancing the bus voltages by the TLB using a single regulator avoid us to use a complex balancing algorithm by the redundant vectors of TLNPC inverter. For the control of the inverter, we used a Proportional Integral (PI) regulator optimized by PSO. This command allows us to have on one side a constant DC bus voltage and a current injection in phase with the grid voltage. To have an efficient follow-up of the TLNPC inverter reference voltages, the Space Vector Pulse Width Modulation (SVPWM) is applied. The simulation is carried out in MATLAB/SIMULINK platform. The results obtained from the application of the FLC command associated with PI PSO are better compared to the simulation without optimization in terms of sum of the absolute values of the errors at the inputs of the three PI regulators.

A novel way of parameter estimation of solar photovoltaic system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Bisht ◽  
Afzal Sikander
Keyword(s):  
Parameter Estimation ◽  
Mean Absolute Error ◽  
Optimization Technique ◽  
Absolute Error ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Solar Panels ◽  
Content Type ◽  
Solar Photovoltaic System

Purpose This paper aims to achieve accurate maximum power from solar photovoltaic (PV), its five parameters need to be estimated. This study proposes a novel optimization technique for parameter estimation of solar PV. Design/methodology/approach To extract optimal parameters of solar PV new optimization technique based on the Jellyfish search optimizer (JSO). The objective function is defined based on two unknown variables and the proposed technique is used to estimate the two unknown variables and the rest three unknown variables are estimated analytically. Findings In this paper, JSO is used to estimate the parameters of a single diode PV model. In this study, eight different PV panels are considered. In addition, various performance indices, such as PV characteristics, such as power-voltage and current-voltage curves, relative error (RE), root mean square error (RMSE), mean absolute error (MAE) and normalized mean absolute error (NMAE) are determined using the proposed algorithm and existing algorithms. The results for different solar panels have been obtained under varying environmental conditions such as changing temperature and constant irradiance or changing irradiance and constant temperature. Originality/value The proposed technique is new and provides better results with minimum RE, RMSE, NMAE, MAE and converges fast, as depicted by the fitness graph presented in this paper.

scholarly journals Evaluasi Performa Fuzzy Logic Controller untuk mengatur kecepatan Motor DC Penguatan Terpisah

2020 ◽  
Vol 12 (2) ◽  
pp. 100-110
Author(s):  
Muhammad Aditya Ardiansyah ◽  
Renny Rakhmawati ◽  
Hendik Eko Hadi Suharyanto ◽  
Era Purwanto
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Duty Cycle ◽  
Fuzzy Logic Controller ◽  
Dc Motor ◽  
Boost Converter ◽  
Voltage Source ◽  
Single Output ◽  
Multiple Input ◽  
State Error

Beragamnya metode yang ditawarkan oleh fuzzy logic kontroller membuat sebagaian orang meneliti mengenai perbedaan metode inferensi yang digunakan oleh fuzzy logic controller. Sejauh ini terdapat tiga metode fuzzy logic kontroller yang telah dikembangkan yaitu Mamdani, Sugono dan Sukamoto. Pada jurnal ini penggunaan fuzzy logic kontroller akan dievaluasi dengan menggunakan motor dc penguat terpisah sebagai beban untuk melakukan pengaturan kecepatan motor dc. Pada paper ini tujuan utamanya adalah dapat mengendalikan kecepatan dari motor DC Penguatan Terpisah dengan mengatur tegangan jangkar dari motor tersebut. DC motor merupakan salah satu jenis motor memiliki banyak aplikasi dan memiliki kemudahan untuk mengatur kecepatan pada motor tersebut. Logika fuzzy yang digunakan pada studi ini adalah inferensi sugeno dimana dengan konfigurasi Multiple Input Single Output (MiSo). Dimana input berupa error dan perubahan error dan output berupa duty cycle dikarenakan yang dikendalikan oleh logika fuzzy adalah Boost Converter selaku controlled voltage source. Target pada jurnal ini adalah dari kecilnya nilai steady – state error dan minimnya osilasi sehingga mampu membuat sistem lebih stabil. Pada studi ini, Hasil pengujian dilakukan dengan menggunakan Simulink by Matlab dengan Hasil pengujian berupa error rata rata sebesar 5.36%.

scholarly journals Implementation of Fuzzy Logic Controller in Solar PV Array Based AC Drives

2019 ◽  
Vol 8 (2S7) ◽  
pp. 423-428
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Solar Pv ◽  
Ac Drives ◽  
Pv Array ◽  
Ac Drive ◽  
Harmonic Content

This paper shows the real implementation of fuzzy logic controller in an AC drive system (Induction motor Drive) under Solar PV array-based system. The switching of boost converter is controlled with help of fuzzy logic by taking inputs from solar PV array while For Inverter switching is done by using fuzzy logic controller by taking inputs from induction motor drive. Initially, 20 kW solar PV array is designed for feeding the 10Kw Induction motor drive with the help MATLAB/SIMULINK. The complete system gives reliable, smooth, efficient, lesser harmonic content level in the output.

scholarly journals Fuzzy Logic Based Controller For Buck Converter

2019 ◽  
Vol 1 (3) ◽  
pp. 1-12
Author(s):  
Habibullah Salim ◽  
Irma Husnaini ◽  
Asnil Asnil
Keyword(s):  
Fuzzy Logic ◽  
Solar Cell ◽  
Output Voltage ◽  
Fuzzy Logic Controller ◽  
Pulse Generation ◽  
Buck Converter ◽  
Dc Voltage ◽  
Generation Technique ◽  
Fuzzy Logic Method ◽  
The Stability

This research aims to make buck converter prototype for PLTS system by using fuzzy logic controller. Buck converter is required in the PLTS system if the required unidirectional voltage is smaller than the output voltage of the solar cell. Buck converter used to convert 24 Volt dc voltage to 12 Volt dc with 60 watt capability. While fuzzy logic controller is used to improve buck converter performance based on pulse generation technique for switching. The application of fuzzy logic method is expected to improve the performance of the system by maintaining the stability of buck converter output voltage of 12 volts and reduce the output ripple value. Atmega8535 microcontroller is used to generate PWM pulses for switching on power circuits. The results obtained from the test using a 100 Ohm 5 Watt load obtained the buck converter output voltage of 12.4 Volt.

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