Zigbee-based data acquisition system for online monitoring of grid-connected photovoltaic system

Shariff, Farihah; Rahim, Nasrudin Abd; Hew, W.P.

doi:10.1016/j.eswa.2014.10.007

Cited by 135 publications

(84 citation statements)

References 28 publications

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“…RS232 or RS484 cables were generally used in wired systems and they are computer based (Anwari, Dom, & Rashid, 2011;Ayompe, Duffy, McCormack, & Conlon, 2011). Wired monitoring systems are not preferred because of their limitations and various negative aspects (Shariff, Rahim & Ping, 2015).…”

Section: Data Transfermentioning

confidence: 99%

“…Monitoring systems include devices with various wireless data transfer technologies such as satellite (Krauter, 2004), GSM (Gagliarducci, Lampasi, & Podestà, 2007;Rosiek & Batlles, 2008) and ZigBee (Shariff, Rahim & Ping, 2015;Katsioulis, Karapidakis, Hadjinicolaou & Tsikalakis, 2011). Satellite technology has a high installation cost.…”

Section: Data Transfermentioning

confidence: 99%

“…People consider that the solar energy is most reliable and promising energy source among the renewable energy sources (Shariff, Rahim & Ping, 2015). There are many photovoltaic power plants that need to be managed and kept healthy state of these power plants by using information techniques.…”

Section: Introductionmentioning

confidence: 99%

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Design of Zigbee based wireless online monitoring system for photovoltaic power systems

Bogan¹

2017

Pressacademia

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Within this project, it is intended to design and implement a web-based wireless photovoltaic monitoring system that can measure important parameters for photovoltaic power systems and perform performance calculations and comparisons of the modules. A webbased, low-cost wireless monitoring system using the Zigbee wireless communication protocol has been developed, taking into account the International Electrotechnical Commission (IEC) standards. Thanks to this developed Zigbee based monitoring system, the data in the power plant can be recorded without any loss without regard to weather conditions. It also has the necessary infrastructure for various emergency scenarios. At this point, the investor can access the system from any device with internet access, regardless of where in the world. As a result of the tests made, there is no data loss between the receiver and the transmitter in this developed system. Emergency systems, which are developed as solutions to electricity or internet interruption problems, prevent data losses.

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Section: Data Transfermentioning

confidence: 99%

Section: Data Transfermentioning

confidence: 99%

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Design of Zigbee based wireless online monitoring system for photovoltaic power systems

Bogan¹

2017

Pressacademia

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“…Parameters such as temperature, irradiation, DC power input in the inverter and AC power output to the grid can be easily obtained. Furthermore, the acquired data can be uploaded to the cloud almost in real time and send notification alerts to the power plant owners and maintenance service [4]. However, these systems still do not integrate georeferences tools that may help to improve the application of a preventive maintenance strategy.…”

Section: Introductionmentioning

confidence: 99%

Development of a GIS Tool for a High Precision PV Degradation Monitoring and Supervision: Feasibility Analysis in Large and Small PV Plants

Simón-Martín¹,

Diez-Suárez²,

Prado³

et al. 2017

Preprint

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Abstract:It is well known that working PV plants show several maintenance needs due to wiring and modules degradation, mismatches, dust and PV cells defects and faults. There are a wide range of studies that show the theoretical and some laboratory tests of how these circumstances may affect the PV production. Thus, it results mandatory to evaluate the whole PV plant performance and, then, it's payback time, profitability and environmental impact or carbon footprint. However, very few studies include a systematic procedure to quantify and supervise the real degradation effects and faults impacts on the field. In this paper, the authors first conduct a brief review of the most frequent PV faults and degradation that can be found on real conditions operative PV Plants. Then, they propose and develop an innovative Geographic Information System application to locate and supervise them. The designed tool has been applied to either a large PV plant of 108 kWp and a small PV plant of just 9 kWp installed on a home rooftop. For the large PV plant, 24 strings of PV modules have been modelized and introduced into the GIS application and every module in the power plant has been studied including voltage, current, power, series and parallel resistance, fill factor, normalized PV curve to STC, thermography and visual analysis. For the small PV installation 3 strings of PV panels have been studied identically. It must be noticed that PV modules in this case include power optimizers. The precision of the study allows the researchers to locate and supervise up to a third part of every PV cell in the system, which are adequately georreferenciated. The developed tool allows both the researchers and the investors to increase control on the PV plant performance and conducts to a better planification of maintenance actuations and to evaluate several PV modules replacement strategies in a preventive maintenance programme. Found PV faults include hot spots, snail tracks, EVA discoloration, PV cells fractures, busbars discoloration, bubbles and Si discoloration.

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“…The brine pump is responsible for extracting the underground brine from the brine well to the surface and is scattered throughout various mining areas, which increases the difficulty of the daily management [5] Grid-connected photovoltaic Zigbee: SKXBEE 10~75 m Web-based Robustness of the system [6] Waste Management LoRa LPWAN *: SX1272 >1000 m Energy efficient solution Power consumption [7] Air quality Bluetooth: RN42VX <10 m Miniaturized gas-sensing Close range transmission [8] Transformer Fault Diagnosis RFID *: VISN-V3 <100 m Stacked denoising autoencoder Close range transmission [9] The multi-parameter optimization problem [10] A fuzzy knowledge-based intelligent system…”

Section: Introductionmentioning

confidence: 99%

Improving Intelligence and Efficiency of Salt Lake Production by Applying a Decision Support System Based on IOT for Brine Pump Management

Cui

Zhang

et al. 2018

Electronics

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At present, due to their geographical distribution, environmental conditions and traditional monitoring technologies, the manual inspection of brine pumps in Qinghai Saline Lake can not be effectively carried out in real time, so the pumps have a high failure rate. This has seriously affected the chemical production of this saline lake. The paper designed a remote real-time monitoring terminal and a decision support system based on LoRa technology, GPRS (General Packet Radio Services) remote communication technology and remote-control technology. The system integrated the liquid-level sensing model and the decision support model for brine pump management. The system monitored and analyzed the voltage, current, and liquid-level parameters in real time to determine the operating status or failure of the brine pump. The ID3 (Iterative Dichotomiser 3) method was used to establish the correlation models between the dynamic monitoring information and the brine pump failure, which is the core of the decision support model. The remote controller was implemented to display and control the running status of the brine pumps when the maintenance personnel received the warning information. PHP (Hypertext Preprocessor) language and a MySQL database were implemented to realize the data display, management and decision support system.

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Zigbee-based data acquisition system for online monitoring of grid-connected photovoltaic system

Cited by 135 publications

References 28 publications

Design of Zigbee based wireless online monitoring system for photovoltaic power systems

Design of Zigbee based wireless online monitoring system for photovoltaic power systems

Development of a GIS Tool for a High Precision PV Degradation Monitoring and Supervision: Feasibility Analysis in Large and Small PV Plants

Improving Intelligence and Efficiency of Salt Lake Production by Applying a Decision Support System Based on IOT for Brine Pump Management

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