scholarly journals Designing an Intelligent Maximum Power Point Tracking (MPPT) for a Rooftop Solar Array

2021 ◽  
Vol 7 (05) ◽  
pp. 133-138
Author(s):  
Afshin Balal & Shahab Balali
Keyword(s):  
Solar Cells ◽  
Output Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Operating Point ◽  
Solar Array ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

By considering the limitation of the size of houses, the permanent inaccessibility of the solar radiation energy, and also the low efficiency of solar cells, a PV system requires the maximum power point tracking(MPPT). The main issue with using solar cells is to reach its maximum power, which is intensified by change in the temperature and radiation. In this paper, among MPPT methods, the Perturb and Observe (P&O) method, has been designed which has high reliability and traceability. However, due to the output power oscillation around the operating point in P&O method, an optimization fuzzy/bee algorithm is used for maximum power point tracking so that without the need for temperature and light sensors, reduction of output power oscillations can be achieved. Simulation results indicate that by using the fuzzy/ bee method, in addition to reducing the fluctuation around the operating point, the speed of reaching to the optimal point is maximized.

Magnus Wind Turbine Emulator With MPPT by Cylinder Rotation Control

2018 ◽  
Vol 140 (10) ◽  
Author(s):  
Leonardo Candido Corrêa ◽  
João Manoel Lenz ◽  
Cláudia Garrastazu Ribeiro ◽  
Felix Alberto Farret
Keyword(s):  
Wind Turbine ◽  
Output Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Control Technique ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
Turbine Model

An emulator for the nonconventional Magnus wind turbine was designed and developed in this study. A brief discussion is made of this special case of horizontal axis wind generator and of the main physics principles involving the Magnus phenomenon. A mathematical model was used to emulate the static behavior of the Magnus wind turbine and a detailed analysis is presented about its peculiar rotating cylinder characteristics. Based on the relationship between cylinder blade rotation and power coefficient, a hill climb search algorithm was developed to perform maximum power point tracking. The impact of the cylinder's rotation speed on the turbine net output power was evaluated. A controlled direct current motor was used to provide torque, based on the Magnus turbine model, and drive a permanent magnet synchronous generator (PMSG); the latter was controlled by a buck converter in order to extract the maximum generated power (MGP). Simulations of the Magnus wind turbine model and its maximum power point tracking (MPPT) control are also presented. A prototype of the proposed emulator was developed and operated by a user-friendly LabVIEW interface. Measurements of the power delivered to the load were acquired for different wind speeds; these results were analyzed and compared with simulated values showing a good behavior of the emulator with respect to the turbine model. The proposed control technique for maximizing the output power was validated by emulated results. The modeling and development of the Magnus turbine emulator also serve to encourage further studies on generation and control with this wind machine.

The Research of Maximum Power Point Tracking Based on Fuzzy Control in Grid-Connected Photovoltaic System

2012 ◽  
Vol 512-515 ◽  
pp. 202-207
Author(s):  
Qiang Xu ◽  
Xiao Chun Zhang ◽  
Kai Chun Ren ◽  
Xing Qi Zhang ◽  
Xiao Jun Liu
Keyword(s):  
Solar Cells ◽  
Fuzzy Control ◽  
Control Method ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper analyzes the characteristics of solar cells, and establishes the simulation model from its mathematical expressions which can factually reflects the change of solar cells’ parameters. The commonly used method of maximum power point tracking technologies is introduced. A PV system’s most maximum power is simulated by using the fuzzy control method. Simulation results show that the system can work at a stable maximum power point rapidly.

Critical Factors Affecting Efficiency of Maximum Power Point Tracking in Solar Cells

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Priyank Srivastava ◽  
Pankaj Gupta ◽  
Amarjeet Singh
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Solar Cell Efficiency ◽  
Cell Efficiency ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

A photovoltaic cell produces electrical energy directly from visible light. However, their efficiency is fairly low. So, the solar cell costs expensive as compared to other energy resources products. Various factors affect solar cell efficiency. This paper presents the most important factors that affecting efficiency of solar cells. These effects are cell temperature, MPPT (maximum power point tracking) and energy conversion efficiency. The changing of these factors improves solar cell efficiency for more reliable applications. There is a large energy demand due to industrial development and population growth especially in India. The main challenge in replacing conventional energy sources with newer and more environmentally friendly alternatives, such as solar and wind energy, is how to capture the maximum energy and deliver the maximum power at a minimum cost for a given load. The output power of photovoltaic cells or solar panels has nonlinear characteristics and these are also affected by temperature, light intensity and load.

scholarly journals Performance Study of Maximum Power Point Tracking (MPPT) Based on Type-2 Fuzzy Logic Controller on Active Dual Axis Solar Tracker

2020 ◽  
Vol 190 ◽  
pp. 00016
Author(s):  
Imam Abadi ◽  
Qurrotul Uyuniyah ◽  
Dwi Nur Fitriyanah ◽  
Yahya Jani ◽  
Kamaruddin Abdullah
Keyword(s):  
Output Power ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Solar Tracker ◽  
Power Point

World energy consumption increases with time, so that occur an energy imbalance. Many breakthroughs have developed to utilize renewable energy. The photovoltaic system is one of the easy-to-use renewable energies. The power conversion from PV fixed is still low, so the PV system is designed using the active dual-axis solar tracker. The PV tracker position can be adjusted to change the sun position to get maximum efficiency. The active dual-axis solar tracker system is integrated with the maximum power point tracking (MPPT) algorithm to keep PV operating at a maximum power point even though input variations change. The active dual-axis solar tracker system integrated with the maximum power point tracking (MPPT) algorithm to keep PV operating at a maximum power point even though input variations change. Tracking test simulation had done by comparing the output power of a fixed PV system with the active dual-axis solar tracker. Type-2 fuzzy logic based MPPT successfully increased the average output power by 10.48 % with the highest increase of 17.48 % obtained at 15:00 West Indonesia Time (GMT+7). The difference in power from a fixed PV system with the active dual-axis solar tracker of 36.08 W is from the output power worth 206.3 to 242.4 W.

scholarly journals A Proposal for an MPPT Algorithm Based on the Fluctuations of the PV Output Power, Output Voltage, and Control Duty Cycle for Improving the Performance of PV Systems in Microgrid

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4326
Author(s):  
Nguyen Van Tan ◽  
Nguyen Binh Nam ◽  
Nguyen Huu Hieu ◽  
Le Kim Hung ◽  
Minh Quan Duong ◽  
...  
Keyword(s):  
Output Power ◽  
Duty Cycle ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Ambient Conditions ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In microgrids, distributed generators that cannot be dispatched, such as a photovoltaic system, need to control their output power at the maximum power point. The fluctuation of their output power should be minimized with the support of the maximum power point tracking algorithm under the variation of ambient conditions. In this paper, a new maximum power point tracking method based on the parameters of power deviation (ΔPPV), voltage difference (ΔVPV), and duty cycle change (ΔD) is proposed for photovoltaic systems. The presented algorithm achieves the following good results: (i) when the solar radiance is fixed, the output power is stable around the maximum power point; (ii) when the solar radiance is rapidly changing, the generated power is always in the vicinity of maximum power points; (iii) the effectiveness of energy conversion is comparable to that of intelligent algorithms. The proposed algorithm is presented and compared with traditional and intelligent maximum power point tracking algorithms on the simulation model by MATLAB/Simulink under different radiation scenarios to prove the effectiveness of the proposed method.

scholarly journals Maximum-power-point tracking during outdoor ageing of solar cells

Solar Energy ◽  
2016 ◽  
Vol 135 ◽  
pp. 471-478 ◽  
Author(s):  
Marko Berginc ◽  
Boštjan Glažar ◽  
Marko Topič
Keyword(s):  
Solar Cells ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals Maximizing Output Power of a Solar Panel via Combination of Sun Tracking and Maximum Power Point Tracking by Fuzzy Controllers

2010 ◽  
Vol 2010 ◽  
pp. 1-13 ◽  
Author(s):  
Mohsen Taherbaneh ◽  
A. H. Rezaie ◽  
H. Ghafoorifard ◽  
K. Rahimi ◽  
M. B. Menhaj
Keyword(s):  
Output Power ◽  
Maximum Power Point Tracking ◽  
Solar Panel ◽  
Maximum Power ◽  
Maximum Output ◽  
Maximum Power Point ◽  
Fuzzy Controllers ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In applications with low-energy conversion efficiency, maximizing the output power improves the efficiency. The maximum output power of a solar panel depends on the environmental conditions and load profile. In this paper, a method based on simultaneous use of two fuzzy controllers is developed in order to maximize the generated output power of a solar panel in a photovoltaic system: fuzzy-based sun tracking and maximum power point tracking. The sun tracking is performed by changing the solar panel orientation in horizontal and vertical directions by two DC motors properly designed. A DC-DC converter is employed to track the solar panel maximum power point. In addition, the proposed system has the capability of the extraction of solar panelI-Vcurves. Experimental results present that the proposed fuzzy techniques result in increasing of power delivery from the solar panel, causing a reduction in size, weight, and cost of solar panels in photovoltaic systems.

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