scholarly journals Automated complex of intelligent monitoring of a solar power plant

2021 ◽  
Vol 2094 (5) ◽  
pp. 052025
Author(s):  
P N Kuznetsov ◽  
D Y Kotelnikov

Abstract A solution for automated monitoring and diagnostics of photovoltaic modules of industrial solar power plants is proposed. The solution is based on the use of an unmanned aerial vehicle with a specialized payload and a ground-based intelligent information and control system to detect problem areas of the station, in particular partial shading and pollution. To perform the detection procedures, a neural network based on the Fast R-CNN architecture with the learning algorithm – Inception v2 (COCO) was used. The results of preliminary tests showed that the accuracy of detecting problem areas is at least 92%. The article presents a mathematical model that allows calculating the installed power monitored by the complex, depending on the type of station and UAV, meteorological parameters, and the performance of computing equipment. Numerical calculations have shown that when using the FIMI X8SE UAV and a computing device based on the RTX2080 GPU, the installed monitored power will be up to 7.5 MW.

2017 ◽  
Vol 202 ◽  
pp. 700-714 ◽  
Author(s):  
Su Guo ◽  
Deyou Liu ◽  
Xingying Chen ◽  
Yinghao Chu ◽  
Chang Xu ◽  
...  

Petir ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 119-127
Author(s):  
Hengki Sikumbang ◽  
Abdul Haris ◽  
Muhammad Jafar Elly

The problem with the condition of the Solar Power Plant is still not optimal due to position of the solar cells in generator is still static so that absorption of light is still not even though Hybrid technology is now available but cannot be optimized properly and still cannot be optimized implemented especially in small scale and remote areas. Another problem that needs attention is the continued operation of installed Solar Power Plants (SPPs), considering the installation and maintenance of the plant requires high investment costs because the installation of solar panels requires a large amount of land and costs besides requiring qualified technical personnel to handle problems and monitoring plant conditions are needed quickly and accurately. From the description of the problem, the first step is to identify the technology used in the factory, the second is the need to design a new system to be able to solve important problems in the plant and the third is to build a computerized system that uses the Hybrid Method on the plant used. is a combination of Artificial Intelligence and Data Mining Processes so that it can present accurate data so that it can help and analyze plant performance, monitor and control plants remotely quickly by using Web Control.


2021 ◽  
Vol 1125 (1) ◽  
pp. 012074
Author(s):  
J Koko ◽  
A Riza ◽  
U K Mohamad Khadik

Author(s):  
Bashria A A Yousef ◽  
Ahmed A Hachicha ◽  
Ivette Rodriguez ◽  
Mohammad Ali Abdelkareem ◽  
Abrar Inyaat

Abstract Integration concept of energy resources can complement between the competing energy technologies. This manuscript presents a comprehensive review on the state-of-the-art of concentrated solar power (CSP) integration technology with various energy sources. Compared to CSP alone, integration of CSP and fossil fuel provides promising solution to solar energy intermittence, emissions and installation cost reduction, with 25% increase in electric power generation. On the other hand, integration of CSP with other sources such as geothermal and biomass can supply dispatchable power with almost zero emissions. The electricity produced via integrated CSP and photovoltaic (PV) has better power quality and less cost compared to that produced by PV alone or CSP alone, respectively. Integration of CSP and wind energy can meet peak demand, reduce power fluctuation and provide electrical power at a high capacity factor. However, the lack of reliable biomass, geothermal and wind data with the solar availability at specific locations is the main obstacle for the acceptance and further deployment of hybridization systems. The advantages and limitations of the hybrid technologies presented in this paper according to the literature are reviewed. Moreover, future directions of CSP such as production of hydrogen, solid particles receivers and the integration of supercritical carbon dioxide cycle are also discussed.


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