scholarly journals Hardware Testing of New MPPT Method under Various Environmental Conditions

2019 ◽  
Vol 8 (4) ◽  
pp. 12599-12605

There are different MPPT techniques to track the maximum power point. When a PV system is directly connected to the load the operating point seldom lies in the maximum power point, whereas it lies at some other point. Thus the effective utilization of PV cannot be done. But using MPPT techniques the system is always made to operate at peak point irrespective of any changes in atmospheric condition. The Proposed method gives better result in terms of output power and hence efficiency of the converter. This method is a tradeoff between steady state accuracy and dynamic tracking by using variable step size instead of fixed step size as like P and O method. The system gives very poor performance when connected directly without mppt. An experimental analysis was conducted to validate the effectiveness of the proposed MPPT method. The proposed method was compared with the conventional Perturb and Observance method and was found that for every environmental conditions like, change in irradiance, angle of tilt, shading, soiling, colour filter, mounting the proposed method gives better power output and efficiency than P and O method. Hardware testing is done to analyze the method.

2011 ◽  
Vol 347-353 ◽  
pp. 1044-1048
Author(s):  
Yun Yun Chen ◽  
Jun Ji Wu ◽  
Zhan Feng Ying

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.


2011 ◽  
Vol 383-390 ◽  
pp. 1111-1116
Author(s):  
Yuan Xiao Ling ◽  
Wang Chuang ◽  
Li Shi Jun

In Photovoltaic (PV) system, the output characteristic of PV cell is susceptible to external environment, such as temperature, light radiation etc, and showing obvious nonlinear. Therefore, in order to improve the efficiency of PV system, the maximum power point tracking (MPPT) of PV cell is essential. This paper mainly introduces the simulation of PV cell and the methods commonly used in Maximum Power Point Tracking of PV system. For the perturbation and observation (P&O) method the paper presents a new variable step size algorithm and builds a simulation model. The result shows that the proposed algorithm has a better effect on maximum power point tracking of PV cell.


2018 ◽  
Vol 7 (3) ◽  
pp. 251-260 ◽  
Author(s):  
Muralidhar Nayak Bhukya ◽  
Venkata Reddy Kota

Photovoltaic (PV) system posses an optimal operating pointing, termed as Maximum Power Point (MPP). Using Maximum Power Point Tracking (MPPT) algorithm, MPP of PV system has to be tracked continuously in any climatic conditions. In general, traditional Perturb and Observe (P&OT) MPP tracker is widely used among existing controllers. But, P&OT fails to harvest maximum power from solar panel, in addition oscillations around MPP results in low efficiency of the PV system. The contradiction involved in the traditional controller can be addressed as P&OT operates with a fixed step size. Hence, with large step size MPP can be reached quickly but the magnitude of oscillations around MPP are high. Similarly, when P&OT operated with tiny step size magnitude of oscillations can be reduced at the same time PV system consumes much time to reach MPP. In order to eliminate the contradiction involved with traditional MPPT scheme and effectively optimize PV system energy, this paper put forwards a hybrid MPPT scheme based on P&OT and Neville interpolation. The proposed scheme is executed in two stages. In the first stage, P&OT is operated with a large step size till the voltage reaches near to maximum point. In the second stage, Neville interpolation is used to find the maximum power point. The performance of the proposed scheme is compared with Golden Section Search (GSS) and P&OT MPPT controllers. With the proposed scheme the convergence time required to reach MPP is improved greatly. Experimental prototype is designed and developed to verify the performance of the proposed scheme. Experimental and simulation results provide enough evidence to show superiority of the proposed scheme.Article History: Received December 15th 2017; Received in revised form July 16th 2018; Accepted September 12th 2018; Available onlineHow to Cite This Article: Bhukya, M. N. and Kota, V. R. (2018) A Novel PandOT-Neville’s Interpolation MPPT Scheme for Maximum PV system energy extraction. International Journal of Renewable Energy Development, 7(3), 251-260https://dx.doi.org/10.14710/ijred.7.3.251-260


2013 ◽  
Vol 694-697 ◽  
pp. 2933-2937
Author(s):  
Ji Ying Shi ◽  
Zi Man Wang

In order to improve the performance of photovoltaic generating system, an improved interleaved boost converter was used as Maximum Power Point Tracker (MPPT) to match the power with the load. Compared with the traditional boost converter, the advantage of improved interleaved boost converter is high step-up ratio, low input ripple current and improved reliability. Based on this topology, the MPPT control strategy of variable step size perturbation and observation (P&O) method is adopted, photovoltaic array can track the maximum power point by adjusting PWM duty ratio of the boost converter. The simulation results certify the correctness of theoretical analysis.


Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4668 ◽  
Author(s):  
Maissa Farhat ◽  
Oscar Barambones ◽  
Lassaâd Sbita

This paper presents a complete study of a standalone photovoltaic (PV) system including a maximum power tracker (MPPT) driving a DC boost converter to feed a resistive load. Here, a new MPPT approach using a modification on the original perturb and observe (P&O) algorithm is proposed; the improved algorithm is founded on a variable step size (VSZ). This novel algorithm is realized and efficiently implemented in the PV system. The proposed VSZ algorithm is compared both in simulation and in real time to the P&O algorithm. The stability analysis for the VSZ algorithm is performed using Lyapunov’s stability theory. In this paper, a detailed study and explanation of the modified P&O MPPT controller is presented to ensure high PV system performance. The proposed algorithm is practically implemented using a DSP1104 for real-time testing. Significant results are achieved, proving the validity of the proposed PV system control scheme. The obtained results show that the proposed VSZ succeeds at harvesting the maximum power point (MPP), as the amount of harvested power using VSZ is three times greater than the power extracted without the tracking algorithm. The VSZ reveals improved performance compared to the conventional P&O algorithm in term of dynamic response, signal quality and stability.


2020 ◽  
Vol 12 (14) ◽  
pp. 5601 ◽  
Author(s):  
Hegazy Rezk ◽  
Ahmed Fathy

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.


2019 ◽  
Vol 16 (2) ◽  
pp. 740-744
Author(s):  
R. Geethamani ◽  
C. Pavithra ◽  
B. Niranjana ◽  
V. Gomathy ◽  
P. Chitra

A Variable step size Incremental resistance algorithm for PV system was designed for maximum power point tracking. The outputs are generated with help of MATLAB/SIMLUNK. The performance of the PV system for partial shading condition was observed. The output for the system was found to be more efficient and attains stability much faster than any other controller. The power output can be controlled by varying the scaling factor.


2011 ◽  
Vol 480-481 ◽  
pp. 739-744
Author(s):  
Kuei Hsiang Chao ◽  
Yu Hsu Lee

In this paper, a novel incremental conductance (INC) maximum power point tracking (MPPT) method based on extension theory is developed to make full use of photovoltaic (PV) array output power. The proposed method can adjust the step size to track the PV array’s maximum power point (MPP) automatically. Compared with the conventional fixed step size INC method, the presented approach is able to effectively improve the dynamic response and steady state performance of a PV system simultaneously. A theoretical analysis and the design principle of the proposed method are described in detail. Some simulation results are performed to verify the effectiveness of the proposed MPPT method.


2014 ◽  
Vol 707 ◽  
pp. 377-380
Author(s):  
Bo Qiang Xu ◽  
Jin Bo Li

The maximum power point tracking (MPPT) of photovoltaic arrays can increase the output power of the photovoltaic systerm, improve the utilization of solar energy. This paper describes the output characteristics of the photovoltaic arrays and the principle of maximum power point tracking,then,based on Incremental conductance method, proposes a sub-type of the variable step size MPPT algorithm. simulated using MATLAB/Simulink, the final results show that the proposed algorithm is able to quickly track the maximum power point and power concussion problem has been significantly improved.


Sign in / Sign up

Export Citation Format

Share Document