scholarly journals Photovoltaic array maximum power point tracking via modified perturbation and observation algorithm

Author(s):  
Bahaa Abdulkhailq Numan ◽  
Amina Mahmoud Shakir ◽  
Anas Lateef Mahmood

One drawback of PVs is their low efficiency. As the PVs have a unique maximum Power Point for a specified irradiation level, there must be an effective method for extracting maximum power from the PV module to raise the efficiency. Conventional Perturbation and Observation (P&O) is a simple algorithm for maximum power point tracking (MPPT) but it suffers from oscillation during steady state conditions and is deviated from the maximum power point during slow and rapid irradiation level change. This paper presents a modified P&O by adding variation in PV current as a third in addition to the voltage and power variation parameters. This new algorithm is capable of eliminating the MPPT deviation. To increase the perturbation speed, a double step is taken as the tracking is deviated from the MPP. The modified P&O algorithm is used to control the duty cycle of DC-DC buck converter. The simulation shows that the modified P&O is faster than the conventional. The power loss due to oscillation before attaining the steady state is less for modified P&O. For slow irradiation level change (ramp up 600 to 1000 and ramp down 1000-800) W/m2, the modified P&O shows less tracking diverge. As the irradiation level changes rapidly from 800 to 200 W/m2, it's shown that the modified algorithm attains the steady state faster than the conventional P&O and the average efficiency increased by 4.34%.

2012 ◽  
Vol 220-223 ◽  
pp. 2091-2094
Author(s):  
Yue Shen Lai ◽  
Sheng Dong Hou ◽  
Gang Wang

Photovoltaic Array is nonlinear,and the power generated by it is influenced by sun light,temperature,load and so on In order to improve the system efficiency, firstly, analyzed the physical and mathematic model of photovoltaic array, through the MATLAB Simulink application software simulation tools, set up a computer simulation model of photovoltaic modules.Secondly,this paper gives the improved Perturbation and Observation Method and the Boost circuit used in the controller.after the analysis of some common maximum power point tracking algorithms and DC-DC circuits. Experiments shows that the controller method can rapidly to track the maximum power point,and increase the cell efficiency.


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.


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