Simulation and Prototyping of Microcontroller Based Maximum Power Point Tracking of PV Array

Author(s):  
Biren Gevaria ◽  
◽  
Khushbu Shah
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. 


Solar Energy ◽  
2016 ◽  
Vol 132 ◽  
pp. 617-627 ◽  
Author(s):  
Yie-Tone Chen ◽  
Yi-Cheng Jhang ◽  
Tsung-Hsiu Kuo ◽  
Ruey-Hsun Liang ◽  
Chung-Wen Hung

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Roy Chaoming Hsu ◽  
Cheng-Ting Liu ◽  
Wen-Yen Chen ◽  
Hung-I Hsieh ◽  
Hao-Li Wang

A reinforcement learning-based maximum power point tracking (RLMPPT) method is proposed for photovoltaic (PV) array. By utilizing the developed system model of PV array and configuring the environment for the reinforcement learning, the proposed RLMPPT method is able to observe the environment state of the PV array in the learning process and to autonomously adjust the perturbation to the operating voltage of the PV array in obtaining the best MPP. Simulations of the proposed RLMPPT for a PV array are conducted. Experimental results demonstrate that, in comparison to an existing MPPT method, the RLMPPT not only achieves better efficiency factor for both simulated weather data and real weather data but also adapts to the environment much fast with very short learning time.


2017 ◽  
Vol 6 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Bhukya Krishna Naick ◽  
Tarun Kumar Chatterjee ◽  
Kalyan Chatterjee

Photovoltaic (PV) system is one of the reliable alternative sources of energy and its contribution in energy sector is growing rapidly. The performance of PV system depends upon the solar insolation, which will be varying throughout the day, season and year. The biggest challenge is to obtain the maximum power from PV array at varying insolation levels. The maximum power point tracking (MPPT) controller, in association with tracking algorithm will act as a principal element in driving the PV system at maximum power point (MPP). In this paper, the simulation model has been developed and the results were compared for perturb and observe, incremental conductance, extremum seeking control and fuzzy logic controller based MPPT algorithms at different irradiation levels on a 10 KW PV array. The results obtained were analysed in terms of convergence rate and their efficiency to track the MPP.Article History: Received 3rd Oct 2016; Received in revised form 6th January 2017; Accepted 10th February 2017; Available onlineHow to Cite This Article: Naick, B. K., Chatterjee, T. K. & Chatterjee, K. (2017) Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation. Int Journal of Renewable Energy Development, 6(1), 65-74.http://dx.doi.org/10.14710/ijred.6.1.65-74


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