scholarly journals Optimization of the maximum power point of photovoltaic working under partial shading conditions

Author(s):  
Bui Van Hien ◽  
Viet Anh Truong ◽  
Quach Thanh Hai

Photovoltaic is used to convert electricity from solar radiation. The working characteristics of photovoltaic depend on environmental conditions such as temperature, solar radiation intensity, and the surrounding environment. During operation, the photovoltaic generation system (PGS) can be partially or completely shaded due to natural phenomena such as clouds, buildings, dust, animals, electric pillars, trees ... these are changing the characteristics of the system’s power output of PV. This paper proposes a maximum power point tracking algorithm for PGS operating under partially shaded condition (PSC) based on Particle Swarm Optimization (PSO) method, and a configuration comprises of three PV modules type PHM60W36 is used to simulate using PSIM software. The study focused on changing the working characteristics of the photovoltaic system when changing factors such as level, location of the photovoltaic module are shaded. The effectiveness of the proposed method is not only compared with the traditional Perturb and Observe (P&O) method but also compared with those proposed previously under the same operating conditions. In addition, an experimental model was developed to investigate the response of the proposed solution in the real environment with the Chroma-62050H simulator. The results show the superiority of the proposed solution in improving the performance MPPT and convergence speed of the system under complex operating conditions.

2010 ◽  
Vol 121-122 ◽  
pp. 93-96 ◽  
Author(s):  
Hou Sheng Zhang

As the energy crisis and the pollution are serious, the exploitation of solar has received more and more attentions. It is well known that for a given solar radiation intensity and solar cell temperature there exists a maximum power point at which the power generated from the PV panel is at its maximum. In order to improve the efficiency of the system, the main method is to regulate the output of array to develop the maximum power point tracking (MPPT). In this paper the principle and control method of DC/DC conversion in grid-connected photovoltaic system are experimentally discussed. The conductance incremental method is analyzed in detail, and an improved variable step-size control method is implemented for MPPT with pulse width modulation. The experimental results prove the feasibility and correctness of the control method.


Solar Energy ◽  
2017 ◽  
Vol 158 ◽  
pp. 490-503 ◽  
Author(s):  
Karim Kaced ◽  
Cherif Larbes ◽  
Naeem Ramzan ◽  
Moussaab Bounabi ◽  
Zine elabadine Dahmane

Author(s):  
Bennis Ghita ◽  
Karim Mohammed ◽  
Lagrioui Ahmed

Several algorithms have been offered to track the Maximum Power Point when we have one maximum power point. Moreover, fuzzy control and neural was utilized to track the Maximum Power Point when we have multi-peaks power points. In this paper, we will propose an improved Maximum Power Point tracking method for the photovoltaic system utilizing a modified PSO algorithm. The main advantage of the method is the decreasing of the steady state oscillation (to practically zero) once the Maximum Power Point is located. moreover, the proposed method has the ability to track the Maximum Power Point for the extreme environmental condition that cause the presence of maximum multi-power points, for example, partial shading condition and large fluctuations of insolation. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging circumstance, namely step changes in irradiance, step changes in load, and partial shading of the Photovoltaic array. Finally, its performance is compared with the perturbation and observation” and fuzzy logic results for the single peak, and the neural-fuzzy control results for the multi-peaks.


Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1711
Author(s):  
Elkin Edilberto Henao-Bravo ◽  
Carlos Andrés Ramos-Paja ◽  
Andrés Julián Saavedra-Montes ◽  
Daniel González-Montoya ◽  
Julián Sierra-Pérez

In this paper, a design method for a photovoltaic system based on a dual active bridge converter and a photovoltaic module is proposed. The method is supported by analytical results and theoretical predictions, which are confirmed with circuital simulations. The analytical development, the theoretical predictions, and the validation through circuital simulations, are the main contributions of the paper. The dual active bridge converter is selected due to its high efficiency, high input and output voltages range, and high voltage-conversion ratio, which enables the interface of low-voltage photovoltaic modules with a high-voltage dc bus, such as the input of a micro-inverter. To propose the design method, the circuital analysis of the dual active bridge converter is performed to describe the general waveforms derived from the circuit behavior. Then, the analysis of the dual active bridge converter, interacting with a photovoltaic module driven by a maximum power point tracking algorithm, is used to establish the mathematical expressions for the leakage inductor current, the photovoltaic current, and the range of operation for the phase shift. The design method also provides analytical equations for both the high-frequency transformer equivalent leakage inductor and the photovoltaic side capacitor. The design method is validated through detailed circuital simulations of the whole photovoltaic system, which confirm that the maximum power of the photovoltaic module can be extracted with a correct design of the dual active bridge converter. Also, the theoretical restrictions of the photovoltaic system, such as the photovoltaic voltage and power ripples, are fulfilled with errors lower than 2% with respect to the circuital simulations. Finally, the simulation results also demonstrate that the maximum power point for different environmental conditions is reached, optimizing the phase shift factor with a maximum power point tracking algorithm.


Author(s):  
Salmi Hassan ◽  
Badri Abdelmajid ◽  
Zegrari Mourad ◽  
Sahel Aicha ◽  
Baghdad Abdenaceur

<p>Maximum power point tracking (MPPT) algorithms are employed in photovoltaic (PV) systems to make full utilization of PV array output power, which have a complex relationship between ambient temperature and solar irradiation. The power-voltage characteristic of PV array operating under partial shading conditions (PSC) exhibits multiple local maximum power points (LMPP). In this paper, an advanced algorithm has been presented to track the global maximum power point (GMPP) of PV. Compared with the Perturb and Observe (P&amp;O) techniques, the algorithm proposed the advantages of determining the location of GMPP whether partial shading is present.</p>


Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1866 ◽  
Author(s):  
Nubia Ponce de León Puig ◽  
Leonardo Acho ◽  
José Rodellar

In the several last years, numerous Maximum Power Point Tracking (MPPT) methods for photovoltaic (PV) systems have been proposed. An MPPT strategy is necessary to ensure the maximum power efficiency provided to the load from a PV module that is subject to external environmental perturbations such as radiance, temperature and partial shading. In this paper, a new MPPT technique is presented. Our approach has the novelty that it is a MPPT algorithm with a dynamic hysteresis model incorporated. One of the most cited Maximum Power Point Tracking methods is the Perturb and Observer algorithm since it is easily implemented. A comparison between the approach presented in this paper and the known Perturb and Observer method is evaluated. Moreover, a new PV-system platform was properly designed by employing low cost electronics, which may serve as an academical platform for further research and developments. This platform is used to show that the proposed algorithm is more efficient than the standard Perturb and Observer method.


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