scholarly journals High performance PV system based on artificial neural network MPPT with PI controller for direct current water pump applications

2019 ◽  
Vol 10 (3) ◽  
pp. 1329 ◽  
Author(s):  
Hussain Attia
Keyword(s):  
Direct Current ◽  
High Performance ◽  
Pi Controller ◽  
Photovoltaic System ◽  
Water Pump ◽  
Pv System ◽  
Practical Applications ◽  
Point Tracking ◽  
Current Water ◽  
Artificial Neural

<span lang="EN-US">This paper presents a new design of a standalone photovoltaic system which is supplying the required power to a direct current water pump that have difficulty to supply by the utility electricity. The system is controlled by an artificial neural networks (ANN) algorithm with function softening by PI controller that to guarantee the maximum power point tracking (MPPT) working conditions. A parallel connected PV array is designed to supply the required power to the water pump. The proposed design considers Permanent Magnet DC motor (PMDC) of 48 Volts, and 500 Watts as a water pump’s motor, the direct current (DC) pump is adopted to avoid the complexity of the alternating current AC pumping system which includes inverter, power filter, and insulated step up transformer, so the presented design avoids the mentioned AC system components. A feed forward ANN algorithm is adopted in this study to produce the reference voltage for the MPPT functioning of the PV system, Proportional Integral (PI) controller is inserted to soften the MPPT controller performance. System design, MATLAB simulation with results and the results’ analysis all are presented in this paper. The study conclusion confirms the effectiveness of the proposal as a successful system for practical applications. </span>

scholarly journals A Novel Hybrid Approach for Maximizing the Extracted Photovoltaic Power under Complex Partial Shading Conditions

2020 ◽  
Vol 12 (14) ◽  
pp. 5786 ◽  
Author(s):  
Altwallbah Neda Mahmod Mohammad ◽  
Mohd Amran Mohd Radzi ◽  
Norhafiz Azis ◽  
Suhaidi Shafie ◽  
Muhammad Ammirrul Atiqi Mohd Zainuri
Keyword(s):  
Direct Current ◽  
High Performance ◽  
Hybrid Approach ◽  
Weather Conditions ◽  
Extremum Seeking ◽  
Convergence Time ◽  
Pv System ◽  
Partial Shading ◽  
Pv Array ◽  
Point Tracking

The convenient design of a maximum power point tracking (MPPT) controller is key to the success of photovoltaic (PV) system performance in order to maximize the extracted power, which is affected significantly by weather fluctuations, particularly partial shading condition (PSC). This paper proposes a novel hybrid MPPT approach based on a modified Perturb and Observe (P&O) assisted by the Extremum Seeking Control (ESC) strategy, combining the benefits of these simple algorithms and, meanwhile, eliminating their drawbacks. The proposed algorithm is able to track the maximum possible power under any level of weather fluctuation, with comprehensive enhancement on all aspects of high performance, boosting the PV array efficiency to 100%, reducing the convergence time to less than 100 ms, completely eradicating the oscillations around the achieved power, and maintaining the simplicity levels of both involved strategies. More importantly, this algorithm is applicable for any PV array configuration, which enhances the robustness and novelty of the algorithm. The performance is verified using MATLAB/Simulink. A boost converter is used for controlling DC to DC (direct current to direct current) power. The proposed algorithm’s performance is compared with the conventional P&O and incremental conductance (IC) algorithms under four different cases of weather conditions. The shortcomings of these algorithms are illustrated and the analysis confirms the effectiveness of the proposed algorithm accordingly.

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 Efficiency Improvement of Photovoltaic System by using Maximum Power Point Tracking

2019 ◽  
Vol 9 (2) ◽  
pp. 1312-1316
Keyword(s):  
Load Condition ◽  
Photovoltaic System ◽  
Duty Ratio ◽  
Resistive Load ◽  
Pv System ◽  
Load Matching ◽  
Point Tracking ◽  
Duty Cycles ◽  
Soft Computing Techniques ◽  
Power Point

Photovoltaic system is growing rapidly in today's world. In the recent trend PV industries are gaining more importance but due to its dependence on several factors the actual power supplied from the PV to the load is not sufficient. Thus in order to make full utilization of PV system effective tracking is very necessary. In this paper an improved detail MPPT technique is demonstrated. The duty cycles obtained from this method are analyzed to get a better duty ratio so that the system can operate at peak power point irrespective of any load condition. The detailed work is carried out in MATLAB for resistive load. Therefore MPPT controller with DC-DC converter is considered to carry out effective load matching and make the PV system operate at MPP point. There are various MPPT methods for PV system using soft computing techniques. The results found in this work shows that the PV standalone system using the improved MPPT technique give better performance and higher efficiency i.e 98.88% in comparison to other existing methods.

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. 

Modeling and Simulation of Grid Connected PV Generation System Using Matlab/Simulink

2017 ◽  
Vol 8 (1) ◽  
pp. 392 ◽  
Author(s):  
Omar Mohammed Benaissa ◽  
Samir Hadjeri ◽  
Sid Ahmed Zidi
Keyword(s):  
Cell Model ◽  
Boost Converter ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Pv System ◽  
External Temperature ◽  
Point Tracking ◽  
Pv Cell ◽  
Power Point ◽  
Grid Side

<span lang="EN-US">This paper describes the Grid connected solar photovoltaique system using DC-DC boost converter and the DC/AC inverter (VSC) to supplies electric power to the utility grid. The model contains a representation of the main components of the system that are two solar arrays of 100 kW, boost converter and the grid side inverter. The paper starts with a system description, in this part we have given a definition and a short overview of every component used in this system and they are taken separately. The PV cell model is easy, accurate, and takes external temperature and solar radiation into consideration. It also proposes a maximum power point tracking (MPPT) algorithm. The algorithm incorporated in a DC/DC converter is used to track the maximum power of PV cell. Finally, the DC/AC inverter (VSC) of three- level is used to regulate the ouput voltage of DC/DC converter and connects the PV cell to the grid. Simulation results show how a solar radiation’s change can affect the power output of any PV system, also they show the control performance and dynamic behavior of the grid connected photovoltaic system.</span>

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.

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