Power Performance Analysis of PV Module with DC to DC Buck Converter

2020 ◽  
Vol 8 (1) ◽  
pp. 27-39
Author(s):  
Niaj Murshed ◽  
Md. Salman Khan Tushar ◽  
Suman Chowdhury
Keyword(s):  
Output Power ◽  
Pid Control ◽  
Buck Converter ◽  
Proportional Integral Derivative ◽  
Matlab Simulation ◽  
Power Performance ◽  
Solar Module ◽  
Dc Voltage ◽  
Pv Module ◽  
Energy Application

The power performance of the PV module with dc-dc buck converter for photovoltaic energy application has been analyzed in this paper. Since the solar module produces DC voltage at various levels depending on irradiance variation, it is needed to connect a DC-DC converter to adjust the level of DC voltage at a certain level. The power output has been investigated by MATLAB simulation. To improve the output power Proportional Integral Derivative (PID) control is used. From the simulation, it has been observed that around 13.85 Watts more output power can be extracted if PID control is used.

scholarly journals Power Performance Evaluation of a PV Module Using MPPT with Fuzzy Logic Control

2021 ◽  
pp. 07-12
Author(s):  
Suman Chowdhury ◽  
Dilip Kumar Das ◽  
Md. Sharafat Hossain
Keyword(s):  
Fuzzy Logic ◽  
Output Power ◽  
Fuzzy Logic Control ◽  
Fuzzy Controller ◽  
Average Power ◽  
Mathematical Structure ◽  
Power Performance ◽  
Partial Shading ◽  
Logic Control ◽  
Pv Module

This paper exhibits performance of power of photovoltaic (PV) module in the case of shading effect. A comparison is made with performance of power of PV module void of MPPT solution. From the MATLAB simulation it is found that around 9.92% more average power generation is possible if MPPT (maximum power power point) solution is taken. To take the effect of partial shading a variation of irradiance profile has been proposed since change of irradiance causes the variation of output power to a great extent. Again to observe the performance of output power with MPPT Fuzzy logic control has been introduced for making the tracking fast and accurate. Mamdani control has been chosen as a technique for fuzzy controller. On top of this, mathematical structure of PV module has been prepared in MATLAB simulink to see output preview of PV module and this module has been linked to the fuzzy logic system to trace the peak power. In the simulation process the instantaneous power, average power and percentage power development are being analyzed with figures.

scholarly journals A Constant Power Generation of Solar Photo Voltaic Systems using Mppt with Fuzzy Logic Controler

2019 ◽  
Vol 8 (11S) ◽  
pp. 655-659
Keyword(s):  
Power Generation ◽  
Buck Converter ◽  
Power Transformation ◽  
The Sun ◽  
Solar Module ◽  
Pv Module ◽  
Photovoltaic Power ◽  
Photo Voltaic ◽  
Estimation And Control ◽  
And Control

MPPT and furthermore CPG that utilizations fluffy rationale controller calculation. The Fuzzy rationale controller, By managing by method for nonlinear positions, suggest a predominant controller for these sort of associations. The method additionally profits by the explain and way to deal with the difficulty that conquers the multifaceted nature in demonstrating nonlinear frameworks. You can arrive at this objective, a MPPT and CPG model having A SOLAR module, The DC-DC converter (CHOPER), another fluffy rationale controller was created. Contemplating a buck converter and lift converter and furthermore buck-support converter highlights was done so as to recognize the most reasonable topology. An unsegregated sort of the sun oriented PV module distinguished converter was recreated and the outcomes used to fathom the master thoughts require to create and strain a fluffy rationale controller. wooly controller was coded as a continuous run program and the MPPT and CPG executed utilizing a dc-dc converter (CHOPER) constrained by a microcomputer. This outcomes can diminishing quality for the move of a photovoltaic power framework batteries can be completely energized and utilized during times of little astrophysical radiation.50KVA model was executed at 1KVA. Testing indicated efficiencies above 95.5% complete dead from power transformation, fluffy rationale MPPT and CPG, and estimation and control hardware.

scholarly journals Performance Analysis of Non-Isolated DC-DC Buck Converter Using Resonant Approach

2018 ◽  
Vol 8 (5) ◽  
pp. 3350-3354 ◽  
Author(s):  
K. Jayaswal ◽  
D. K. Palwalia
Keyword(s):  
Electromagnetic Interference ◽  
Operating Performance ◽  
Operational Reliability ◽  
Buck Converter ◽  
Matlab Simulation ◽  
Soft Switch ◽  
Dc Voltage ◽  
Leakage Inductance ◽  
Switching Losses ◽  
Simulation Results

DC-DC converters preserve or control the output DC voltage. Due to parasitic constituents such as leakage capacitance of both diode and inductor, and transformer leakage inductance, DC-DC converters mostly operate on rigid switching conditions which result in high switching losses. These parasitic constituents affect the dc-dc converter’s operational reliability, instigate electromagnetic interference issues and limit the converter’s operation at higher frequency operations. In this paper, resonant or soft-switch approach has been employed to improve the operating performance and design-oriented principle investigations have been carried out for overcoming the issues of parasitic constituents in 24-12V DC-DC step-down (buck) converter. This paper divulges the analysis and Matlab Simulation results for 24-12V buck converter based on resonant or soft-switching approach.

Design and Simulation of a Photovoltaic Emulator System Based on a Full-Bridge Structure

2014 ◽  
Vol 577 ◽  
pp. 584-587
Author(s):  
Li Yong Yang ◽  
Qiang Nian Chen ◽  
Shuo Yang
Keyword(s):  
Single Phase ◽  
Buck Converter ◽  
Double Loop ◽  
Bridge Structure ◽  
Pwm Rectifier ◽  
Matlab Simulation ◽  
Loop Control ◽  
Pv Module ◽  
Voltage Ripple ◽  
Control Output

In this paper, the design and simulation of a photovoltaic (PV) emulator are presented. The output characteristic and I-V curve are produced based on mathematical engineering PV module, so that they are similar to the practical curves. The proposed system consists of a single-phase full-bridge PWM rectifier and a DC/DC buck converter, which can reduce the voltage ripple and improve the power factor near the grid. The rectifier uses double-loop control strategy and the buck circuit uses the formula of the PV module to control output voltage and load current. Using Matlab simulation, the result proves feasibility and good performance of this scheme, and simulation waves can reflect the change of temperature and light intensity.

Photovoltaic output power performance assessment and forecasting: Impact of meteorological variables

Solar Energy ◽  
2021 ◽  
Vol 220 ◽  
pp. 745-757
Author(s):  
Abderrezzaq Ziane ◽  
Ammar Necaibia ◽  
Nordine Sahouane ◽  
Rachid Dabou ◽  
Mohammed Mostefaoui ◽  
...  
Keyword(s):  
Performance Assessment ◽  
Output Power ◽  
Meteorological Variables ◽  
Power Performance

scholarly journals An Improved PID Controller for the Compliant Constant-Force Actuator Based on BP Neural Network and Smith Predictor

2021 ◽  
Vol 11 (6) ◽  
pp. 2685
Author(s):  
Guojin Pei ◽  
Ming Yu ◽  
Yaohui Xu ◽  
Cui Ma ◽  
Houhu Lai ◽  
...  
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Pid Control ◽  
Pid Controller ◽  
Experimental Validation ◽  
Control Method ◽  
Smith Predictor ◽  
Constant Force ◽  
Matlab Simulation ◽  
Adjustment Time

A compliant constant-force actuator based on the cylinder is an important tool for the contact operation of robots. Due to the nonlinearity and time delay of the pneumatic system, the traditional proportional–integral–derivative (PID) method for constant force control does not work so well. In this paper, an improved PID control method combining a backpropagation (BP) neural network and the Smith predictor is proposed. Through MATLAB simulation and experimental validation, the results show that the proposed method can shorten the maximum overshoot and the adjustment time compared with traditional the PID method.

Development of Control System by Nonlinear Compensation Using Digital Acceleration Control

2010 ◽  
Author(s):  
Takanori Emaru ◽  
Kazuo Imagawa ◽  
Yohei Hoshino ◽  
Yukinori Kobayashi
Keyword(s):  
Control System ◽  
System Identification ◽  
Mechanical System ◽  
Pid Control ◽  
Estimation Method ◽  
Proportional Integral Derivative ◽  
Inertia Term ◽  
Modeling Errors ◽  
Nonlinear Compensation ◽  
Simulation Results

Proportional-Integral-Derivative (PID) control has been most commonly used to operate mechanical systems. In PID control, however, there are limits to the accuracy of the resulting movement because of the influence of gravity, friction, and interaction of joints. We have proposed a digital acceleration control (DAC) that is robust over these modeling errors. One of the most practicable advantages of DAC is robustness against modeling errors. However, it does not always work effectively. If there are modeling errors in the inertia term of the model, the DAC controller cannot control a mechanical system properly. Generally an inertia term is easily modeled in advance, but it has a possibility to change. Therefore, we propose an online estimation method of an inertia term by using a system identification method. By using the proposed method, the robustness of DAC is considerably improved. This paper shows the simulation results of the proposed method using 2-link manipulator.

scholarly journals Effect of Solar Tilt Angles on Photovoltaic Module Performance: A Behavioral Optimization Approach

2020 ◽  
pp. 90-102
Author(s):  
Trina Som ◽  
A. Sharma ◽  
D. Thakur
Keyword(s):  
Solar Energy ◽  
Tilt Angle ◽  
Photovoltaic Module ◽  
Optimization Approach ◽  
Solar Module ◽  
Monthly Average ◽  
Pv Module ◽  
Yearly Maximum ◽  
Module Performance ◽  
Better Than

In the present study, performance analyses of a solar module are made through the optimal variation of solar tilt angle, pertaining to the maximum generation of solar energy. The work has been carried out for a particular location at Tripura, in India, considering three different cases on an annual basis. An intelligent behavioural based algorithm, known as artificial bee algorithm (ABC), has been implemented for finding the optimal orientation of solar angle in analysing the performance. The result shows marginal differences are obtained in producing yearly maximum solar energy for different orientations of the PV module. It has been observed that the maximum average solar energy is obtained for the case where continuous adjustment is made by rotating the plane about the horizontal east-west axis within 20° to 30° tilt angle. The computed maximum and minimum of the monthly average efficiency is 10.9% and 8.7%, respectively. Further, a comparative study has been performed in generating average solar energy through optimal tilt angle by the implementation of Perturb & Observe method (P&O). The monthly average solar power computed by P&O method resulted better in a range of 2% to 15% in comparison to that obtained by ABC. While on the other hand, the efficiency computed by ABC algorithm was 15% to 19% better than that evaluated by P&O method for all the cases studied in the present work.

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