Design and Simulation to Composite MPPT Controller on the Stratospheric Airship

2014 ◽  
Vol 672-674 ◽  
pp. 1765-1769 ◽  
Author(s):  
Kang Wen Sun ◽  
Ming Zhu ◽  
Gao Ming Liang ◽  
Dong Dong Xu
Keyword(s):  
Large Scale ◽  
Input Power ◽  
Energy Output ◽  
Solar Array ◽  
Limited Area ◽  
Stratospheric Airship ◽  
Point Tracking ◽  
Mppt Controller ◽  
Output Characteristics ◽  
Power Point

In view of solar arrays applied in large-scale stratospheric airship, modular thinking was proposed by reasonable decomposition of solar array to design composite maximum power point tracking (MPPT) controller where the input and output are both in parallel, which ensures maximized solar energy output on a limited area. And each solar array sub-model was equipped with independent MPPT controller to control power tracking separately. Then, the solar array composed of three sub-models was used for simulation and its result indicates that MPPT controller of each sub-model can track the power quickly, and the output power can reach 93% of maximum input power when the efficiency loss of converter in reality is not considered . So, the model constructed in this paper can be used to optimize the design and analyze output characteristics quantitatively for the large-scale stratospheric airship's solar array.

The Combined Fuzzy and PO MPPT Method for PV Materials under Partially Shaded Conditions

2011 ◽  
Vol 321 ◽  
pp. 80-83 ◽  
Author(s):  
Li Qun Liu ◽  
Zhi Xin Wang
Keyword(s):  
Power System ◽  
Large Scale ◽  
Control Method ◽  
Experimental Tests ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Output Characteristics ◽  
Power Point

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.

scholarly journals Modeling and Simulation of an Intelligent Photovoltaic Controller Based on Variable Step Algorithm of Versoria

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Bo Sun ◽  
Yongquan You ◽  
Zhiyong Zhang ◽  
Chao Li
Keyword(s):  
Control Algorithm ◽  
Photovoltaic Cells ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Step Algorithm ◽  
Output Characteristics ◽  
Power Point ◽  
Fuzzy Control Algorithm

As a green and renewable energy source, photovoltaic power is of great significance for the sustainable development of energy and has been increasingly exploited. The photovoltaic controller is the key component of a photovoltaic power generation system, and its central technology is the maximum power point tracking technology. In this paper, a mathematical model of photovoltaic cells is firstly established, the output characteristics of photovoltaic cells are analyzed, the main factors that affect the output efficiency of photovoltaic cells are obtained, and it is proved that the most important factor that affects the output power is the light intensity. Therefore, in the design, the maximum power point of the photovoltaic cell is tracked by the control algorithm and can maximize the use of photovoltaic output power fast charging. The key to the design of a photovoltaic controller is the design of control algorithm. So, an improved fuzzy control algorithm is proposed to overcome the shortcomings of the traditional maximum power point tracking (MPPT) algorithm. The algorithm can consider tracking both speed and convergence, but the algorithm requires high input and output fuzzy domain parameters, and although the tracking speed is fast, the stability of convergence is poor. For the limitation of fuzzy control algorithm, considering the property of the Versoria function, an MPPT design method for an intelligent controller based on the Versoria variable step algorithm is further proposed. According to the output characteristics of photovoltaic cells, three parameters, α, β, and γ, are set to solve the tracking speed and tracking stability. In order to reduce the static error, a genetic factor is proposed to sum up the historical error to effectively improve the tracking stability. The simulation results show that the algorithm can track the maximum power point quickly and has good tracking speed and stability. This algorithm can be used in engineering practice effectively.

Modeling and Simulation of MPPT for Photovoltaic (PV) Array under Partially Shaded Conditions

2012 ◽  
Vol 512-515 ◽  
pp. 97-100
Author(s):  
Guo Zhao ◽  
Xue Liang Huang ◽  
Yong Zhao
Keyword(s):  
Simulation Model ◽  
Local Maximum ◽  
Maximum Power ◽  
Partial Shading ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Voltage Curve ◽  
Output Characteristics ◽  
Power Point

Based on tow-diode model of PV cells, the simulation model of PV array is established. This simulation model can simulate the output characteristics of PV array according to different shading conditions. The output power-voltage curve of PV array may have multiple local Maximum Power Points (MPPs) due to the partial shading. As a result, traditional maximum power point tracking (MPPT) algorithms can easily fail to track global MPP, this can be one of main causes for reduced energy. In order to overcome this drawback, an improved global scanning MPPT algorithm is proposed. Moreover, Matlab-based model is established. It is verified by simulation results carried out that this improved MPPT algorithm is effective to track the global MPP.

Research on the MPPT Stability of the Single-Stage and Single-Phase Photovoltaic Grid-Connected System

2012 ◽  
Vol 263-266 ◽  
pp. 2252-2257 ◽  
Author(s):  
Loembe Souamy
Keyword(s):  
Single Phase ◽  
High Reliability ◽  
Single Stage ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Multi Stage ◽  
Output Characteristics ◽  
Power Point ◽  
Pv Grid

At present the multi-stage transformation topology are more used in photovoltaic (PV) grid-connected system, although the control of this structure is relatively simple but the conversion efficiency is difficult to improve due to increase in transformation series. The single stage topology has a simple topology with high reliability and efficiency because of low power consumption, but control algorithm is more complex because of its power convert main circuit without DC-DC. This paper describes a method for maximum power point tracking (MPPT) in the single-stage and single-phase PV grid-connected system. In the paper, the nonlinear output characteristics of the PV including I-V & P-V are obtained in changed solar insulations or temperature based on MATLAB, and the MPPT algorithm which is based on the particle swarm optimization (PSO) method is also described. The simulation model of the single-stage and single-phase PV grid-connected system is built , and simulation results show the MPPT algorithm has excellent dynamic and static performances ,which verifies the PSO method is effective for MPPT in the single-stage and single-phase PV grid-connected system.

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