scholarly journals Comparison of solar power measurements in alpine areas using a mobile dual-axis tracking system

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Jelenko Karpić ◽  
Ekanki Sharma ◽  
Tamer Khatib ◽  
Wilfried Elmenreich

Abstract The rising demand for sustainable energy requires to identify the sites for photovoltaic systems with the best performance. This paper tackles the question of feasibility of photovoltaic power plants at high altitude. A direct comparison between an alpine and an urban area site is conducted in the south of Austria. Two low-cost automatic photovoltaic power measurement devices with dual-axis sun tracking and maximum power point tracking are deployed at two test sites. The system periodically performs a scan over the southern semihemisphere and executes maximum power point adjustment in order to assess the performance for a given direction. The gathered data shows a higher photovoltaic power yield in the higher altitude test site. Furthermore, the high altitude photovoltaic power as a function of azimuth and elevation angle appears to be not only higher but also more flat than in lower altitudes. This indicates a lower power loss in case of deviation from the optimal solar angles. The results show that even on low-cost hardware a difference in photovoltaic power can be observed, even though in this experiment it amounts to less than 5% increase of peak power in higher altitudes. However, the measured peak powers on the mountain are more stable and therefore closer to a constant level than the heavily fluctuating peak power values at the low altitude site. Additionally, a slight shift in optimal elevation angles between altitudes can be observed, as the optimum angle turns out to be lower on the high altitude site. This angle shift could be caused by snow reflections on the mountainous test site.

2012 ◽  
Vol 239-240 ◽  
pp. 123-128
Author(s):  
Dan Wu ◽  
Jing Xue ◽  
Ting Ting Li

Due to the different PV modules and external conditions, large-scale photovoltaic power plants often show a multi-peak PV characteristics. But the traditional MPPT methods is only for single-peak P-V curve to strike a maximum power point. So we need to improve the conventional MPPT methods. In the MATLAB/Simulink environment, we combined the Hysteresis Comparison Method with Incremental Conductance to build the S-function to create a simulation model obtaining the maximum power point power, voltage and current. In the same simulation system the traditional Incremental Conductance was used to obtain the maximum power, voltage and current which compare with the maximum power, voltage and current which obtained by the proposed method . The results of simulation illustrated the effectiveness of the proposed method .


2020 ◽  
Vol 53 (4) ◽  
pp. 567-573
Author(s):  
Rahul Wilson Kotla ◽  
Srinivasa Rao Yarlagadda

Day to day there is an increase in installations of new Solar Photovoltaic Power plants (SPVPP’s) which directly reflects the grid. As the SPVPP’s output power is fluctuating in nature, which is directly injected to the utility grid faces the challenges like overloading. Therefore, to overcome the overloading situations of grid, its infrastructure should be replaced by higher ratings which will increase the system cost. Due to this there is a need to limit the grid injected power from SPVPP’s to overcome the overloading situations. In this article a Constant power injection (CPI) algorithm is used to control the feed in power to grid as per grid regulations. Based on the instantaneous SPVPP’s output power and power limiting value this strategy will controls the output power by switching between the incremental conductance maximum power point tracking (InC-MPPT) algorithm and CPI algorithm. The proposed InC-CPI algorithm is applied to the single phase two-stage (SPTS) systems with the working region is on the left side of maximum power point (MPP) for maintaining the system to be in stable conditions. In this article the InC-CPI and the perturb and observe (P&O)-CPI algorithms were compared, and results were analyzed. The proposed control algorithm is designed using Matlab/Simulink and the results taken for both clear and cloudy days with wide varying climatic conditions.


2013 ◽  
Vol 43 (1-2) ◽  
pp. 127-135 ◽  
Author(s):  
Miguel Carrasco ◽  
Fernando Mancilla-David ◽  
Francesco Riganti Fulginei ◽  
Antonino Laudani ◽  
Alessandro Salvini

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