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Study On Capacity Optimization Of Dual - Axis Solar Tracking System Based On Energy Consumption Analysis

Posted on:2016-06-04Degree:MasterType:Thesis
Country:ChinaCandidate:G L ZhangFull Text:PDF
GTID:2132330470964055Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of modern society, the energy consumption is increasing year by year, accompanied with this, the environment problem is increasingly outstanding. Therefore, the solar energy as a pollution-free clean energy have more and more research value and practical significance. Improve the production efficiency is one of the major problems which the photovoltaic faced, using the sun tracker is an effective method to solve this problem, through the improvement and optimization of tracking scheme can effectively improve the efficiency of photovoltaic power generation system.According to the present existing problems of sun tracking,this article build a sun tracking device, use this device as the experimental platform, and on the basis of the improved MPPT algorithm, further study of the relationship between the panels and tracking devices. And on the basis of this relationship to deduce the number of tracking optimization calculation method. At the same time, applied this calculation method to daily operation trajectory tracking scheme, further enhance the capacity of the photovoltaic power generation efficiency. The main research work has the following several aspects:1) In order to infer the tracking number optimization equations of tracking device in a certain period of time. At first, I need to study the relationship between the panel capacity and the energy consumption of tracking devices, therefore this research first analyze the output characteristics of panels. The disturbance observation of MPPT algorithm has the defect about the steady-state oscillation and tracking speed cannot balance, aiming at this defect, this paper improve it and carry out the Simulink simulation. The simulation results show that the improved MPPT algorithm can make the system ensure the guarantee tracking speed under the condition of effectively reduce the steady-state oscillation.2) This subject adopts sun tracking system based on the solar trajectory combined with photoelectric tracking scheme. Firstly, I have studied the sun path of astronomy works, and have carried on the simulation by MATLAB software. Then, in view of the disadvantages of current sun tracking system based on the solar trajectory,design the photoelectric sensor which have eight photoresistance to fine-tune tracking device, make the panels normal can be more accurate with the sun’s rays. At the same time, make a further analysis of energy consumption of the tracking device, obtained the energy dissipation formula of two-axis structure. On the basis of combining with the maximum power of panels, deduced the tracking number optimization equations of tracking device in a certain period of time, and carried out the simulation to verify the algorithm. The results show that after adding tracking number optimization algorithm, the efficiency of system achieved further improvement.3) Design and set up a two-axis sun tracking system and power main circuit and peripheral circuit which treat BUCK circuit as the core. And using VB and MATLAB mixed programming method to design the single chip microcomputer and PC communication control interface, through the interface can check device tracking trajectory, the outside weather conditions, and step motor loss alarm information, improve the stability and controllability of the system.Finally, finished on the tracking accuracy and BUCK circuit transmission efficiency measurement and analysis. Experiments show that the two-axis sun tracking device has high tracking precision, good stability, and can effectively improve the efficiency of photovoltaic power generation capacity.
Keywords/Search Tags:Photovoltaic power generation, The two-axis sun tracking, Track the frequency optimization, ATmega16, Photoelectric tracking, MPPT
PDF Full Text Request
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