scholarly journals A Gradient Descent Approach for Maximum Power Point Tracking in Solar PV Systems Networks

Author(s):  
Jyotsana Pandey

— The intermittent nature of solar irradiation makes it necessary to continuously track the irradiation and change the orientation of the solar panels so as to maximize the PV output. Since the nature of solar irradiation data is both extremely random and complex, hence classical statistical techniques render inaccuracies in the predicted values. Therefore, machine learning based approaches are needed for the estimation or forecasting of the PV output. The proposed approach employs the gradient descent-based approach for attaining the condition of maximum power point tracking (MPPT). The performance of the system has been evaluated in terms of the mean absolute percentage error and accuracy. It has been shown that the proposed system attains an accuracy of 96.31% with an MAPE of 3.69%.

Author(s):  
C. Pavithra ◽  
Pooja Singh ◽  
Venkatesa Prabhu Sundramurthy ◽  
T.S. Karthik ◽  
P.R. Karthikeyan ◽  
...  

2013 ◽  
Vol 368-370 ◽  
pp. 1327-1331
Author(s):  
Ya Li Liu ◽  
Ming Li ◽  
Xu Ji ◽  
Xi Luo

In order to maximize the output power of PV cells, an improved maximum power point tracking method has been proposed in this paper. The approach is a combination of Lagrange polynomial interpolation with perturb and observe (P&O) method. The MPPT method based on output characteristic curve can be rapidly stabilization of operating point in the approximate region near the maximum power point which shortened the response time. A comparison study between the classical P&O method and the improved method is done in order to validate the new MPPT method. The results showed that the oscillations around the MPP for improved method are almost eliminated, and the efficiency of the improved method is an average of 90.4% compared to 66.8% of the classical P&O method.


2018 ◽  
Vol 7 (2.31) ◽  
pp. 97 ◽  
Author(s):  
M Jayakumar ◽  
V Vanitha ◽  
V Jaisuriya ◽  
M Karthikeyan ◽  
George Daniel ◽  
...  

Solar power is widely available around the globe but efficient transfer of solar power to the load becomes a challenging task. There are various methods in which the power transfer can be done, the following work proposes a method for efficient tracking of solar power.  MPPT [ maximum power point tracking] algorithm applied on three phase voltage source inverter connected to solar PV array with a three phase load. MPPT is applied on inverter rather than conventionally applying MPPT on DC-DC converter. Perturb and Observe method is applied in the MPPT algorithm to find the optimal modulation index for the inverter to transfer maximum power from the panel. Sine pulse width modulation technique is employed for controlling the switching pattern of the inverter. The algorithm is programmed for changing irradiation and temperature condition. The system does not oscillate about the MPP point as the algorithm set the system at MPP and does not vary till a variation in irradiation is sensed.  The proposed system can be installed at all places and will reduce the cost, size and losses compared to conventional system. 


Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6722
Author(s):  
Mehmet Ali Yildirim ◽  
Marzena Nowak-Ocłoń

Solar photovoltaic (PV) energy is one of the most viable renewable energy sources, considered less polluting than fossil energy. However, the average power conversion efficiency of PV systems is between 15% and 20%, and they must operate with high efficiency. Photovoltaic cells have non-linear voltage–current characteristics that are dependent on environmental factors such as solar irradiation and temperature, and have low efficiency. Therefore, it becomes crucial to harvest the maximum power from PV panels. This paper aims to study and analyze the most common and well-known maximum power point tracking (MPPT) algorithms, perturb and observe (P&O) and incremental conductance (IncCond). These algorithms were found to be easy to implement, low-cost techniques suitable for large- and medium-sized photovoltaic applications. The algorithms were tested and compared dynamically using MATLAB/Simulink software. In order to overcome the low performance of the P&O and IncCond methods under time-varying and fast-changing solar irradiation, several modifications are proposed. Results show an improvement in the tracking and overall system efficiencies and a shortened response time compared with original techniques. In addition, the proposed algorithms minimize the oscillations around the maximum power point (MPP), and the power converges faster.


Author(s):  
Gunjan Varshney ◽  
D S Chauhan ◽  
M P Dave

<p>This paper deals with the evaluation of power quality issues in grid connected PV systems. This paper also presents  complete simulation, modeling and control of three phase grid connected solar PV module with Maximum Power Point Tracking. Perturb and Observe (P&amp;O) method has been used for Maximum Power Point Tracking. In the proposed model DC bus voltage control , harmonic mitigation and power factor control are discussed as power quality issues. The simulation results are shown in the graphical waveforms and simulation is performed in MATLAB using SIMULINK environment and PSB toolboxes. <strong> </strong></p>


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