scholarly journals PVsyst Software for Better Energy Efficiency of a Grid-Connected Photovoltaic Power Station

2021 ◽  
Vol 21 (2) ◽  
pp. 85-93
Keyword(s):  
Weather Station ◽  
Tracking Systems ◽  
Power Station ◽  
Solar Insolation ◽  
Power Stations ◽  
Photovoltaic Power ◽  
Solar Tracking ◽  
Orenburg Oblast ◽  
Solar Tracker

The paper presents a classification of solar tracking systems used in photovoltaic power stations (PVS) and their operating principles. A simulation model of a grid-connected 5-kW PVS has been developed in PVsyst, to which end the researchers selected PVS equipment and optimized the PV cell tilt angles. The paper further analyzes a grid-connected PVS in Orenburg Oblast in PVsyst under the following configurations: static PV cells, not tilted vs seasonally varied tilts; single-axis solar trackers with vertical and horizontal axes of rotation vs a dual-axis solar tracker. The analysis is based on solar insolation data for 2019 obtained from the research team’s HP-2000 weather station. Dual-axis solar tracker and single-axis vertical trackers are shown to have the best year-round generation, providing an increase of 13.2% and 11.5%, respectively, against the static PV cells (no change in tilt).

scholarly journals Dual Axis Tracker for Photovoltaic Panel

2019 ◽  
Vol 8 (11S) ◽  
pp. 906-910
Keyword(s):  
Electrical Energy ◽  
Tracking Systems ◽  
Servo Motor ◽  
Control Module ◽  
Photovoltaic Panel ◽  
Hardware Development ◽  
Analog Signals ◽  
Main Challenge ◽  
Solar Tracking ◽  
Solar Tracker

Main challenge of solar-tracking systems are the sunlight detection, providing position and delay of PV movement, designing control module for low consumption dc servo motor(s). Objective of this paper is designing and implementing automatic control for detecting maximum solar light to a solar panel. The two-axis solar tracker is used for optimizing conversion of solar energy into electrical energy, at cost of the mechanical and the maintenance need, for the best efficiency. The hardware development, two dc servomotors are adjusted which is controlled by drive module moving panel by using four Light-Dependent Resistor (LDR) to provide the analog signals; the signals are processed by ATMEGA328P micro-controller with Arduino.

Determining of Damages Caused by Fire on Photovoltaic Power Stations

2014 ◽  
Vol 1001 ◽  
pp. 282-287
Author(s):  
Zdeněk Kadlec ◽  
Milos Kvarčak ◽  
Adam Thomitzek ◽  
Martin Trčka
Keyword(s):  
Weather Station ◽  
Power Stations ◽  
Photovoltaic Power

The fire produce harms and damage environment. The fire assessment of photovoltaic power stations is based on testimony, photographic and some next records of during fire, data recorded by Weather Station of photovoltaic’ s station and from inspection of fireplace after extinguishing of fire.

scholarly journals A Study on the Effects of Solar Tracking Systems on the Performance of Photovoltaic Power Plants

2014 ◽  
Vol 02 (04) ◽  
pp. 718-728 ◽  
Author(s):  
Shahriar Bazyari ◽  
Reza Keypour ◽  
Shahrokh Farhangi ◽  
Amir Ghaedi ◽  
Khashayar Bazyari
Keyword(s):  
Power Plants ◽  
Tracking Systems ◽  
Photovoltaic Power ◽  
Solar Tracking

scholarly journals Combined Multi-Layer Feature Fusion and Edge Detection Method for Distributed Photovoltaic Power Station Identification

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6742
Author(s):  
Yongshi Jie ◽  
Xianhua Ji ◽  
Anzhi Yue ◽  
Jingbo Chen ◽  
Yupeng Deng ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Edge Detection ◽  
Semantic Segmentation ◽  
Remote Sensing Images ◽  
Power Station ◽  
Data Set ◽  
Photovoltaic Panels ◽  
Power Stations ◽  
Photovoltaic Power

Distributed photovoltaic power stations are an effective way to develop and utilize solar energy resources. Using high-resolution remote sensing images to obtain the locations, distribution, and areas of distributed photovoltaic power stations over a large region is important to energy companies, government departments, and investors. In this paper, a deep convolutional neural network was used to extract distributed photovoltaic power stations from high-resolution remote sensing images automatically, accurately, and efficiently. Based on a semantic segmentation model with an encoder-decoder structure, a gated fusion module was introduced to address the problem that small photovoltaic panels are difficult to identify. Further, to solve the problems of blurred edges in the segmentation results and that adjacent photovoltaic panels can easily be adhered, this work combines an edge detection network and a semantic segmentation network for multi-task learning to extract the boundaries of photovoltaic panels in a refined manner. Comparative experiments conducted on the Duke California Solar Array data set and a self-constructed Shanghai Distributed Photovoltaic Power Station data set show that, compared with SegNet, LinkNet, UNet, and FPN, the proposed method obtained the highest identification accuracy on both data sets, and its F1-scores reached 84.79% and 94.03%, respectively. These results indicate that effectively combining multi-layer features with a gated fusion module and introducing an edge detection network to refine the segmentation improves the accuracy of distributed photovoltaic power station identification.

A Hybrid Model of Photovoltaic Power Stations for Model Ling Tasks of Large Power Systems

2021 ◽  
Vol 69 (4) ◽  
pp. 43-49
Author(s):  
Nikolay RUBAN ◽  
◽  
Vladimir RUDNIK ◽  
Igor RAZZHIVIN ◽  
Anton KIEVEC ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Station ◽  
Partial Shading ◽  
Large Power ◽  
Photovoltaic Panels ◽  
Power Stations ◽  
Photovoltaic Power ◽  
Software And Hardware ◽  
The Impact

Renewable energy sources are being actively penetrated in the global energy sector, with the main growth being achieved by new photovoltaic power stations. At the same time, the influence of photovoltaic power stations on the operation of power systems is known. This is primarily due to the inconstancy of the weather, which leads to a decrease in the output of each specific photovoltaic panel and power station as a whole. To study the effect of partial shading of photovoltaic panels on the parameters of its operation, various models of the current-voltage characteristics of photovoltaic cells are used in the world, while detailed two-diode models show the best results. The use of detailed models allows to get complete information about the processes in a variety of photovoltaic panels of a power station, as well as other elements of it, such as a voltage converter. This makes it possible to assess the impact of these processes on the external power system. However, for detailed modelling of large photovoltaic power stations as part of power systems, it is necessary to use powerful software and hardware systems. Such systems include the Hybrid real-time power system simulator. This simulator is a multiprocessor installation that provides a solution to the aggregate model of the power system through the use of three approaches to modelling: digital, analogue and physical. The article presents the results of experimental studies of software and hardware tools for modelling a photovoltaic power station, developed on the basis of a hybrid approach to modelling electric power systems.

scholarly journals THE ADVANTAGES OF SOLAR TRACKER

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Cristiano Fernando Lewandoski ◽  
Reginaldo Ferreira Santos ◽  
Augustine Ikpehai
Keyword(s):  
Electrical Energy ◽  
Open Circuit ◽  
Photovoltaic System ◽  
The Internet ◽  
Tracking Systems ◽  
Energy Needs ◽  
Solar Tracking ◽  
Solar Tracker ◽  
Photovoltaic Plant ◽  
Power Generation Systems

Solar tracking systems allow greater efficiency of a photovoltaic system by continuously adjusting its position in relation to the sun, thus increasing the generation of electrical energy. The integration of photovoltaic solar tracking systems in a photovoltaic plant allows the energy needs of users to be met more widely in a smaller area. This integration is facilitated by the existence of technologies such as access to the Internet via Wi-Fi, which allows the development of systems to be included in the domain of “Cloud” and Automation 4.0. In this study, an "open circuit" solar tracker, the first of its kind designed in Brazil on a plant scale, was designed and developed, which runs the tracking algorithm in the service programmed in a PLC, which has a Wi-Fi module integrated. This study opens the possibility of integrating power generation systems in the Cloud domain, which among other things, allows constant monitoring of the system's behavior with Solar tracking

Solar Tracker Technologies: Market Trends and Field Applications

2007 ◽  
Vol 18-19 ◽  
pp. 339-344 ◽  
Author(s):  
John T. Agee ◽  
Andrew Obok Opok ◽  
Marie de Lazzer
Keyword(s):  
Polar Axis ◽  
Tracking Systems ◽  
Significant Component ◽  
Maintenance Costs ◽  
Energy Profiles ◽  
Solar Tracking ◽  
Solar Tracker ◽  
Market Trends ◽  
The Cost ◽  
Low Pay

Solar energy is increasingly becoming a significant component in the energy profiles of several tropical nations. This paper discusses trends in solar tracking technologies: analyzing the cost of acquisition, domains of application, maintenance costs and efficiency improvements. The paper concludes that hydraulic-based tracking systems are suitable for low capacity installations with low pay loads while polar axis tracking systems offer a performance nearly equal to that of two-axis tracking systems, at the cost of single axis trackers.

scholarly journals Development and Testing of a Single-Axis Photovoltaic Sun Tracker through the Internet of Things

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2547 ◽  
Author(s):  
Sebastian Gutierrez ◽  
Pedro M. Rodrigo ◽  
Jeronimo Alvarez ◽  
Arturo Acero ◽  
Alejandro Montoya
Keyword(s):  
Internet Of Things ◽  
Electrical Energy ◽  
Open Loop ◽  
Photovoltaic System ◽  
The Internet ◽  
Tracking Systems ◽  
Energy Needs ◽  
Solar Tracking ◽  
Solar Tracker ◽  
The Internet Of Things

Solar tracking systems enable increased efficiency of a photovoltaic system through a continuous adjustment of its position with respect to the sun, thus increasing the generation of electrical energy. The integration of photovoltaic solar tracking systems in buildings and houses enables the energy needs of users in a broader way to be covered. This integration is facilitated through the existence of technologies such as access to the Internet through Wi-Fi, which allows developing systems to be encompassed within the domain of the “Internet of Things” (IoT). In this study, a first-of-its-kind “open-loop” solar tracker was designed and developed, which executes the tracking algorithm in the Firebase web service and allows the exchange of data with said service through a NodeMCU development board, which has an integrated Wi-Fi module. After an experimental campaign in Aguascalientes, central Mexico, gains in terms of collected energy on average were measured at 29.9% in May compared to an optimally tilted fixed photovoltaic system. This study opens the possibility of integrating power generation systems into the IoT domain, which, among other things, allows for constant monitoring of the behavior of the system.

Research on the Power Prediction of Photovoltaic Power Station Based on LMS Adaptive Filter

2013 ◽  
Vol 433-435 ◽  
pp. 464-468
Author(s):  
Hong Lu Zhu ◽  
Jian Xi Yao
Keyword(s):  
Adaptive Filter ◽  
Prediction Method ◽  
Energy Output ◽  
Power Prediction ◽  
Power Station ◽  
Stochastic Fluctuation ◽  
Continuous Increase ◽  
Power Stations ◽  
Photovoltaic Power ◽  
Lms Filter

Along with continuous increase of capacity of PV(photovoltaic) power station, techniques for power prediction of PV power station play an important role in reducing impact of stochastic fluctuation of PV power stations energy output on power system. The paper proposes a method for power prediction of PV power station based on LMS adaptive filter, a FIR approach model of PV station power prediction model based on LMS adaptive filter is established with history runtime value of PV station as the input value of filter and current value as the expected value. The advantage of using LMS filter to power prediction of PV power station is that a real-time, explicit identification result can be obtained as well as that the algorithm is simple. A test has been made with runtime data of one PV power station and the result showed that the prediction method in the paper has good accuracy in terms of super-short term power prediction.

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