A Simulation of PV Module and MPPT Control Based on Matlab/Simulink

2012 ◽  
Vol 512-515 ◽  
pp. 59-65 ◽  
Author(s):  
Kang Wen Sun ◽  
Chun Yang Liu ◽  
Gao Ming Liang ◽  
Ming Zhu

The simulation model of PV module, which is based on Simulink software, the mathematical model and the equivalent circuit of PV module, is established in this paper. This PV module model can be used to show the output characteristics of PV module under different irradiations and temperatures. Moreover, this model can be extended to various parameters of PV modules and used to study parallel and serial characteristics of PV module. The output characteristics of PV module, which is affected greatly by light irradiation and ambient temperature, has obvious non-linear features. Therefore, a maximum power point tracker (MPPT) is needed. Compared with perturbation and observation (P&Q) control method and other MPPT control methods, incremental conductance (IncCond) method may be unease to be adopted because it needs a high-performance controller which is costliness. However, as IncCond method is suitable for the irradiation situation of both rapid and slow changes, it has important research meanings. Meanwhile, aiming at the disadvantage of a fixed tracking step size, a improved control method is put forward and simulated in this paper. Finally the simuliation results verify the accuracy and superiority of the improved IncCond method.

2011 ◽  
Vol 321 ◽  
pp. 80-83 ◽  
Author(s):  
Li Qun Liu ◽  
Zhi Xin Wang

An efficient Maximum Power Point Tracking (MPPT) control method is important to increase the output efficiency of a photovoltaic (PV) material. The output power of PV power system depends on local irradiance conditions. The output characteristics of large-scale PV materials under partial shading conditions have multiple maximum power points, which make the tracking of the actual maximum power point (MPP) a difficult task. A novel combined fuzzy and perturb and observe (PO) control method is suggested to extract maximum power from the PV materials under these conditions. The ability of the proposed method and its increased performance as compare with the traditional fuzzy control method is evaluated by means of experimental tests performed on a real PV power system and based on the MSP430x44x microcontroller.


2013 ◽  
Vol 834-836 ◽  
pp. 1145-1149
Author(s):  
Jun Hong Zhang ◽  
Xue Ye Wei ◽  
Zi Nan Hui

Research on the mathematical model and output characteristics of a large photovoltaic array has important significance for optimal allocation and maximum power point tracking. Based on the double-diode model of photovoltaic cells, this paper deduced the mathematical model of a large photovoltaic array and made the improvement to the model and parameter optimization. According to the principle of the maximum power point matching, the large photovoltaic array MATLAB simulation mode of the improved double diode was established by use of the Newton - Ravson algorithm to determine the values of Rs and Rp. The model has the advantages of simple structure, fast operation, and the output characteristics for various light irradiation and temperature levels could be simulated exactly only by use of some parameters from photovoltaic cell production businesses. The output current data of PV module under different temperature and illumination were measured by experiment. Compared with the simulation model, it is concluded that the precision of the model in low light and high temperature condition is better than that of the single diode model, and can be applied to various types of large photovoltaic array..


2015 ◽  
Vol 785 ◽  
pp. 601-605 ◽  
Author(s):  
Nur Izzati Abdul Aziz ◽  
Shahril Irwan Sulaiman ◽  
Sulaiman Shaari ◽  
Ismail Musirin

This paper presents a methodology for sizing Stand-Alone Photovoltaic (SAPV) system. An iterative-based sizing algorithm, known as ISA, was developed for determining the optimal PV module, battery, charge controller and inverter such that the expected Performance Ratio (PR) of the system could be maximized. The ISA basically evaluates all possible combinations of SAPV system components derived from the respective database of each component. Two sizing scenarios were evaluated based on the types of charge controller that has been used, i.e. the standard charge controller and maximum power point tracker (MPPT)-based charge controller. Results showed that the optimal sizing solution was discovered within 14 to 19 hours based on an evaluation of 46,080 possible combinations of components.


2012 ◽  
Vol 466-467 ◽  
pp. 1079-1083
Author(s):  
Xiao Bin Mu ◽  
Jiu He Wang ◽  
Sheng Sheng Xu ◽  
Wen Gu

Photovoltaic (PV) grid-connected system requires the inverter possesses excellent dynamic and static characteristics. In the view of the mathematical model of the inverter is nonlinear, we will adopt a kind of nonlinear control strategy called Passivity–Based Control (PBC). First we establish the standard Euler – Lagrange (EL) mode for inverter, then we also prove that this inverter is strictly passive. Based on passivity of inverter, we can redistribute the system energy, and adopt the approaches of injecting damping and decoupling to improve system performance. In this paper, we can control the active and reactive power of system to make system can fast track the PV array maximum power point, and possess the capacity of compensating the reactive power. Simulation results show that passivity-based control method can make the inverter possess better robustness and dynamic.


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