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 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.

A Modified MPPT Method for Photovoltaic System

2012 ◽  
Vol 430-432 ◽  
pp. 1348-1351
Author(s):  
Yu Shui Huang ◽  
Yan Jie Wei ◽  
Xue Chen
Keyword(s):  
Environmental Factors ◽  
Transient State ◽  
Photovoltaic System ◽  
Pv System ◽  
Maximum Power Point ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Power Point

The output of photovoltaic (PV) array is affected by the environmental factors such as irradiation and temperature, so an effective maximum power point tracking (MPPT) method of PV array is necessary. In this paper, a modified perturb and observe (MPO) method is proposed to achieve MPPT for a PV system and to improve the shortcomings of prior methods. Comparing with a typical perturb and observe (P&O) MPPT method, the MPO efficiency is improved in transient state by the proposed MPPT as theoretical prediction.

scholarly journals Hybrid Fuzzy Based MPPT Techniques for Maximum Power Extraction

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1140-1148
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Pv System ◽  
Power Extraction ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point

The extensive usage of solar has extended the opportunity of research to increase the efficiency of PV module. Maximum Power Point Tracking technique plays an important role. In P & O and Incremental conductance the power produced is less. In this paper a Fuzzy based P & O and Fuzzy based Incremental Conductance MPPT techniques are presented to extract the maximum power from the photovoltaic system by considering the dynamic variation in irradiations and temperature also. Here the 100 kW PV array is considered and it is connected to the utility grid via a DC-DC boost converter of 500volts with a 3 phase three level voltage source converter. The result is obtained by the MAT LAB Simulink and the same is appraised with the traditional P & O and Incremental conductance. The PV System produces the maximum power by the application of Fuzzy based incremental Technique compared to conventional methods.

scholarly journals ICM based ANFIS MPPT controller for grid connected photovoltaic system

2018 ◽  
Vol 7 (3) ◽  
pp. 1508 ◽  
Author(s):  
R Pavan Kumar Naidu ◽  
S Meikandasivam
Keyword(s):  
Boost Converter ◽  
Photovoltaic System ◽  
Voltage Source ◽  
Photovoltaic Module ◽  
Voltage Source Inverter ◽  
Pv System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Conductance Method ◽  
Power Point

In this paper, grid-connected photovoltaic (PV) system is presented. PV system consists of a photovoltaic module, a boost converter, and voltage source inverter. ANFIS based ICM (Incremental Conductance Method) MPPT (Maximum Power Point Tracking) controller is utilized to produce gate signal for DC-DC boost converter. This controller is used for optimizing the total performance of the Photovoltaic system in turn the errors were reduced in Voltage Source Inverter (VSI). The grid-connected PV system performance is evaluated and har-monics occurred in the system are decreased. The proposed methodology is implemented in MATLAB/Simulink. 

An Intelligent Incremental Conductance MPPT Method for a Photovoltaic System

2011 ◽  
Vol 480-481 ◽  
pp. 739-744
Author(s):  
Kuei Hsiang Chao ◽  
Yu Hsu Lee
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Step Size ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Incremental Conductance ◽  
Power Point ◽  
Array Output

In this paper, a novel incremental conductance (INC) maximum power point tracking (MPPT) method based on extension theory is developed to make full use of photovoltaic (PV) array output power. The proposed method can adjust the step size to track the PV array’s maximum power point (MPP) automatically. Compared with the conventional fixed step size INC method, the presented approach is able to effectively improve the dynamic response and steady state performance of a PV system simultaneously. A theoretical analysis and the design principle of the proposed method are described in detail. Some simulation results are performed to verify the effectiveness of the proposed MPPT method.

Improvement of P&O MPPT Method for Photovoltaic System Based on Adaptive Prediction Algorithm

2012 ◽  
Vol 263-266 ◽  
pp. 2131-2137
Author(s):  
Qing Fu ◽  
Guang Lei Cheng ◽  
Feng Jie Liu ◽  
Gui Long Ma
Keyword(s):  
Output Power ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Prediction Algorithm ◽  
Pv System ◽  
Maximum Power Point ◽  
Predictive Algorithm ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

To utilize maximum solar energy, maximum power point tracking (MPPT) control is much important for PV system. The paper presents a new MPPT method based on adaptive predictive algorithm which is superior to traditional Perturbation and Observation (P&O) method. PV output power is predicted to improve the tracking speed and deduce the possibility of misjudgment of increasing or decreasing the PV output voltage. Because PV output power can be obtained directly, close loop can be established so as to achieve a precise prediction. Simulations and experiments prove that proposed MPPT control can track the maximum power point rapidly, and the system can operate steadily with this MPPT method.

PHOTOVOLTAIC SYSTEM WITH A DC–DC CONVERTER FED SHUNT ACTIVE FILTER FOR POWER QUALITY IMPROVEMENT USING ICos Φ ALGORITHM

2014 ◽  
Vol 23 (09) ◽  
pp. 1450132 ◽  
Author(s):  
G. VIJAYAKUMAR ◽  
R. ANITA
Keyword(s):  
Fuzzy Logic Controller ◽  
Reactive Power ◽  
Active Filter ◽  
Photovoltaic System ◽  
Pv System ◽  
Shunt Active Filter ◽  
Point Tracking ◽  
Consequent Reduction ◽  
Small Industry ◽  
Power Point

This paper presents an operation of photovoltaic (PV)-based shunt active filter (SAF) for significant energy conservation, harmonic mitigation and reactive power compensation. When the PV system generates excessive or equal power required to the load demand, then the coordinating logic disconnects the service grid from the load and with a consequent reduction of panel tariff and global warming gasses. The PV module is connected to the DC side of SAF through the DC–DC converter. Converter switch is controlled by fuzzy-based perturb & observe (P&O) maximum power point tracking (MPPT) algorithm and it eliminates the drawback in the conventional PV system. The reference currents are extracted by the fuzzy logic controller-based ICos Φ control strategy. This proposed PV-SAF, if connected at the terminals of a small industry or a home or a small enlightening institution can avoid the use of interruptible power supply and individual stabilizer. An emulation using MATLAB Simulink is presented to validate the advantage of the proposed system.

Primary Study of Tracking Photovoltaic System for Mobile Station in Malaysia

2018 ◽  
Vol 9 (1) ◽  
pp. 427 ◽  
Author(s):  
Ahmad Fudholi ◽  
Lim Chin Haw ◽  
Kamaruzzaman Sopian ◽  
Ahmed Mohamed Omer Abdulmula
Keyword(s):  
Mobile Station ◽  
Pilot Project ◽  
Photovoltaic System ◽  
Primary Study ◽  
Pv System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Future Supply ◽  
Battery State Of Charge ◽  
Power Point

<span>This paper describes the performance of tracking photovoltaic (PV) system for mobile station. The system consists of tracking PV array, the battery bank, the maximum power point tracking (MPPT) controller and the DC/AC inverter). This system is the first full solar power station, which acts as pilot project by Celcom Sdn. Bhd. Success of this system shows potential of electrify rural remote area. The design is hoped to be a pioneer and acts as well-known system in order to ensure renewable energy is the future supply of electricity in far located urban area. This paper showes the record of the battery state-of-charge (SOC) as a function of time for rainy and sunny days.</span>

scholarly journals Design and Experimental Implementation of a Hysteresis Algorithm to Optimize the Maximum Power Point Extracted from a Photovoltaic System

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1866 ◽  
Author(s):  
Nubia Ponce de León Puig ◽  
Leonardo Acho ◽  
José Rodellar
Keyword(s):  
Power Efficiency ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In the several last years, numerous Maximum Power Point Tracking (MPPT) methods for photovoltaic (PV) systems have been proposed. An MPPT strategy is necessary to ensure the maximum power efficiency provided to the load from a PV module that is subject to external environmental perturbations such as radiance, temperature and partial shading. In this paper, a new MPPT technique is presented. Our approach has the novelty that it is a MPPT algorithm with a dynamic hysteresis model incorporated. One of the most cited Maximum Power Point Tracking methods is the Perturb and Observer algorithm since it is easily implemented. A comparison between the approach presented in this paper and the known Perturb and Observer method is evaluated. Moreover, a new PV-system platform was properly designed by employing low cost electronics, which may serve as an academical platform for further research and developments. This platform is used to show that the proposed algorithm is more efficient than the standard Perturb and Observer method.

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