scholarly journals Variable Step Size Maximum Power Point Tracker Using a Single Variable for Stand-alone Battery Storage PV Systems

2011 ◽  
Vol 11 (2) ◽  
pp. 218-227 ◽  
Author(s):  
Emad M. Ahmed ◽  
Masahito Shoyama
Keyword(s):  
Maximum Power ◽  
Variable Step Size ◽  
Single Variable ◽  
Battery Storage ◽  
Step Size ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Maximum Power Point Tracker ◽  
Variable Step ◽  
Power Point

Research on MPPT Technology Based on Adaptive Area Algorithm

2011 ◽  
Vol 347-353 ◽  
pp. 1044-1048
Author(s):  
Yun Yun Chen ◽  
Jun Ji Wu ◽  
Zhan Feng Ying
Keyword(s):  
Maximum Power ◽  
Variable Step Size ◽  
Step Size ◽  
Pv System ◽  
Maximum Power Point ◽  
Climate Conditions ◽  
Pv Systems ◽  
Observation Methods ◽  
Variable Step ◽  
Power Point

Considering the fact that when the cell temperature and solar insolation change rapidly, traditional variable step size(VSS) perturbation and observation(P&O) methods exist the defects that their tracking speed is relatively slow, there is small power oscillation around MPP(Maximum Power Point) and even some of them exist the situation of tracking unsuccessfully. This paper proposes a MPPT(Maximum Power Point Tracing) technology based on adaptive area algorithm. The simulation model of PV system is established by MATLAB. The simulation results show that the proposed method can track the MPP fast and accurately, and ensure the steady state characteristics of PV systems even when the climate conditions change rapidly. It effectively overcomes the defects of traditional variable step size perturbation and observation methods.

Experimental Verification of the main MPPT techniques for photovoltaic system

2017 ◽  
Vol 8 (1) ◽  
pp. 384 ◽  
Author(s):  
Mohamed Amine Abdourraziq ◽  
Mohamed Maaroufi
Keyword(s):  
Maximum Power ◽  
Photovoltaic System ◽  
Variable Step Size ◽  
Atmospheric Conditions ◽  
Step Size ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Variable Step ◽  
Power Point ◽  
Global Mppt

<p>Photovoltaic (PV) technology is one of the important renewable energy resources as it is pollution free and clean. PV systems have a high cost of energy and low eciency, consequently, they not made it fully attractive as an alternative option for electricity users. It is essential that PV systems are operated to extract the maximum possible power at all times. Maximum Power Point (MPP) changes with atmospheric conditions (radiation and temperature), it is dicult to sustain MPP at all atmospheric levels. Many Maximum Power Point Tracking (MPPT) have been developed and implemented. These methods varied according to several aspects such as a number of sensors used, complexity, accuracy, speed, ease of hardware implementation, cost and tracking eciency. The MPPT techniques presented in the literature indicate that Variable step size of Perturb &amp; Observe (VP&amp;O), Variable step size of Incremental Conductance (VINC) and Perturb &amp; Observe (P&amp;O) using Fuzzy Logic Controller (FLC) can achieve reliable global MPPT with low cost and complexity and be easily adapted to dierent PV systems. In this paper, we established theoretical and experimental verication of the main MPPT controllers (VP&amp;O, VINC, and P&amp;O using FLC MPPT algorithms) that most cited in the literature. The three MPPT controller has been tested by MATLAB/Simulink to analyze each technique under dierent atmospheric conditions. The experimental results show that the performance of VINC and P&amp;O using FLC is better than VP&amp;O in term of response time.</p>

scholarly journals Performance Improvement of PEM Fuel Cell Using Variable Step-Size Incremental Resistance MPPT Technique

2020 ◽  
Vol 12 (14) ◽  
pp. 5601 ◽  
Author(s):  
Hegazy Rezk ◽  
Ahmed Fathy
Keyword(s):  
Fuel Cell ◽  
Water Content ◽  
Operating Conditions ◽  
Maximum Power ◽  
Variable Step Size ◽  
Step Size ◽  
Maximum Power Point ◽  
Tracking Method ◽  
Variable Step ◽  
Power Point

The output power of a fuel cell mainly depends on the operating conditions such as cell temperature and membrane water content. The fuel cell (FC) power versus FC current graph has a unique maximum power point (MPP). The location of the MPP is variable, depending on the operating condition. Consequently, a maximum power point tracker (MPPT) is highly required to ensure that the fuel cell operates at an MPP to increase its performance. In this research work, a variable step-size incremental resistance (VSS-INR) tracking method was suggested to track the MPP of the proton exchange membrane (PEMFC). Most of MPPT methods used with PEMFC require at least three sensors: temperature sensor, water content sensor, and voltage sensor. However, the proposed VSS-INR needs only two sensors: voltage and current sensors. The step size of the VSS-INR is directly proportional to the error signal. Therefore, the step size will become small as the error becomes very small nearby the maximum power point. Accordingly, the accuracy of the VSS-INR tracking method is high in a steady state. To test and validate the VSS-INR, nine different scenarios of operating conditions, including normal operation, only temperature variation, only variation of water content in the membrane, and both variations of temperature and water content simultaneously, were used. The obtained results were compared with previously proposed methods, including particle swarm optimization (PSO), perturb and observe (P&O), and sliding mode (SM), under different operating conditions. The results of the comparison confirmed the superiority of VSS-INR compared with other methods in terms of the tracking efficiency and steady-state fluctuations.

scholarly journals Modified Variable Step-Size Incremental Conductance MPPT Technique for Photovoltaic Systems

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2331
Author(s):  
Isaac Owusu-Nyarko ◽  
Mohamed A. Elgenedy ◽  
Ibrahim Abdelsalam ◽  
Khaled H. Ahmed
Keyword(s):  
Slope Angle ◽  
Scaling Factor ◽  
Maximum Power ◽  
Variable Step Size ◽  
Step Size ◽  
Maximum Power Point ◽  
Angle Variation ◽  
Incremental Conductance ◽  
Variable Step ◽  
Power Point

A highly efficient photovoltaic (PV) system requires a maximum power point tracker to extract peak power from PV modules. The conventional variable step-size incremental conductance (INC) maximum power point tracking (MPPT) technique has two main drawbacks. First, it uses a pre-set scaling factor, which requires manual tuning under different irradiance levels. Second, it adapts the slope of the PV characteristics curve to vary the step-size, which means any small changes in PV module voltage will significantly increase the overall step-size. Subsequently, it deviates the operating point away from the actual reference. In this paper, a new modified variable step-size INC algorithm is proposed to address the aforementioned problems. The proposed algorithm consists of two parts, namely autonomous scaling factor and slope angle variation algorithm. The autonomous scaling factor continuously adjusts the step-size without using a pre-set constant to control the trade-off between convergence speed and tracking precision. The slope angle variation algorithm mitigates the impact of PV voltage change, especially during variable irradiance conditions to improve the MPPT efficiency. The theoretical investigations of the new technique are carried out while its practicability is confirmed by simulation and experimental results.

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