Development of Artificial Neural Network Based MPPT for Photovoltaic System during Shading Condition

2013 ◽  
Vol 448-453 ◽  
pp. 1573-1578 ◽  
Author(s):  
Mahamad Abd Kadir ◽  
Saon Sharifah
Keyword(s):  
Neural Network ◽  
Variable Temperature ◽  
Photovoltaic System ◽  
Photovoltaic Module ◽  
Elman Network ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Network Controller ◽  
Power Point

This paper presents Feedforward Neural network (FFNN) and Elman network controllers to control the maximum power point tracking (MPPT) of photovoltaic (PV). MPPT is a method used to extract the maximum available power from photovoltaic module by designs them to operate efficiently. Thus, cell temperatures and solar irradiances are two critical variable factors to determine PV output powers. The performances of the controller is analyzed in four conditions which are i) constant irradiation and temperature, ii) constant irradiation and variable temperature, iii) constant temperature and variable irradiation and iv) variable temperature and irradiation. The proposed systems are simulated by using MATLAB-SIMULINK. Based on the results, FFNN controller has shown the better performance compare to the Elman network controller during partial shading conditions.

MPPT-based on Bat algorithm for photovoltaic systems working under partial shading conditions

2021 ◽  
pp. 1-9
Author(s):  
Mohammed Asim ◽  
Piyush Agrawal ◽  
Mohd Tariq ◽  
Basem Alamri
Keyword(s):  
Low Cost ◽  
Bat Algorithm ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Full Power ◽  
Power Point ◽  
Global Peak

Under partial shading conditions (PSC), most traditional maximum power point tracking (MPPT) techniques may not adopt GP (global peak). These strategies also often take a considerable amount of time to reach a full power point (MPP). Such obstacles can be eliminated by the use of metaheuristic strategies. This paper shows, in partial shading conditions, the MPPT technique for the photovoltaic system using the Bat Algorithm (BA). Simulations have been performed in the MATLAB ®/Simulink setting to verify the efficacy of the proposed method. In MPPT applications, the results of the simulations emphasize the precision of the proposed technique. The algorithm is also simple and efficient, on a low-cost microcontroller, it could be implemented. Hardwar in loop (HIL) validation is performed, with a Typhoon HIL 402 setup.

scholarly journals A Novel DSP-Based MPPT Control Design for Photovoltaic Systems Using Neural Network Compensator

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3260
Author(s):  
Ming-Fa Tsai ◽  
Chung-Shi Tseng ◽  
Kuo-Tung Hung ◽  
Shih-Hua Lin
Keyword(s):  
Neural Network ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Irradiation ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Irradiation Cell ◽  
Power Point ◽  
Neural Network Compensator

In this study, based on the slope of power versus voltage, a novel maximum-power-point tracking algorithm using a neural network compensator was proposed and implemented on a TI TMS320F28335 digital signal processing chip, which can easily process the input signals conversion and the complex floating-point computation on the neural network of the proposed control scheme. Because the output power of the photovoltaic system is a function of the solar irradiation, cell temperature, and characteristics of the photovoltaic array, the analytic solution for obtaining the maximum power is difficult to obtain due to its complexity, nonlinearity, and uncertainties of parameters. The innovation of this work is to obtain the maximum power of the photovoltaic system using a neural network with the idea of transferring the maximum-power-point tracking problem into a proportional-integral current control problem despite the variation in solar irradiation, cell temperature, and the electrical load characteristics. The current controller parameters are determined via a genetic algorithm for finding the controller parameters by the minimization of a complicatedly nonlinear performance index function. The experimental result shows the output power of the photovoltaic system, which consists of the series connection of two 155-W TYN-155S5 modules, is 267.42 W at certain solar irradiation and ambient temperature. From the simulation and experimental results, the validity of the proposed controller was verified.

scholarly journals Design of Photovoltaic System with Different Power Point Tracking Techniques for on-Grid Applications

2020 ◽  
Vol 8 (6) ◽  
pp. 213-219
Keyword(s):  
Energy Demand ◽  
Incident Angle ◽  
Photovoltaic System ◽  
High Power Conversion Efficiency ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Pv Module ◽  
Power Point ◽  
Continuous Power

In India, solar energy meets consumer energy demand and majority of the plants are grid connected. Solar power is mainly depending on two factors, which are sun ray’s incident angle and change of environment conditions. The Maximum Power Point Tracking (MPPT) of photovoltaic (PV) module is necessary to maximize the extraction of PV power under partial shading conditions. The main aim of this paper is to highlight the design and implementation of 5MW solar plant with different power tracking techniques. In addition, the detailed explanation of various materials used to design the PV module is illustrated. This paper also describes the two types of solar rating panels that are used to get high power conversion efficiency as well as continuous power supply along with that the plant cost, monthly and yearly power production and corresponding efficiency is calculated.

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. 

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