Monitoring &amp; Controlling of Substation Using IoT in Distribution Power Grid

Tarase, Kalpana B.; Panchade, V. M.

doi:10.1109/icdcs48716.2020.243550

Cited by 13 publications

(4 citation statements)

References 4 publications

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“…Through the combination of qualitative and quantitative methods, the effectiveness of decision-making is improved, which can help to scientifically select communication technologies in similar scenarios, the indicator framework is shown in Table 1 This kind of hierarchical analysis decomposes complex problems into various constituent elements. By combining qualitative and quantitative methods with evaluation, it improves the effectiveness of decision-making and can help scientific selection of communication technologies in similar scenarios [9].…”

Section: Distribution Network Data Acquisition Modelmentioning

confidence: 99%

Power Line Data Online Acquisition System of Distribution Network Based on ZigBee

Zhang

Tang

Shi

2023

J. Phys.: Conf. Ser.

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Energy Internet promotes the vigorous development of new access network services, which requires access networks to provide support for new services quickly, flexibly, and efficiently. The extension and penetration ability of the access network has been continuously enhanced, and it can adapt to the complex operating environment of the distribution side. Because it is close to the end of the power grid, the network is exposed to the public environment, and it is vulnerable to illegal intrusion, security protection, and other issues. In this paper, based on the ZigBee network, through the study of time series and ARIMA prediction model, first of all, the original data is analyzed in time series, then the data is stabilized. The model is determined and established, and finally, the simulation model is predicted. The test proves that the model studied in this paper has high acquisition accuracy and achieves prediction analysis. Timely warning of meteorological temperature is used as a part of the source data, which can save energy and reduce the acquisition cost while ensuring the amount of data collected.

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Section: Distribution Network Data Acquisition Modelmentioning

confidence: 99%

Power Line Data Online Acquisition System of Distribution Network Based on ZigBee

Zhang

Tang

Shi

2023

J. Phys.: Conf. Ser.

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“…The accuracy of the measurement was found to be comparable to that of a clamp meter. A design for monitoring and controlling of a power grid substation using IoT was proposed in [13]. The smart voltage and current monitoring system use an Arduino Uno, voltage, current and frequency sensor to measure grid voltage, current, frequency and power factor using zero linecrossing detector.…”

Section: Related Workmentioning

confidence: 99%

Cellular Internet of Things Based Power Monitoring System for Networking Devices

Agbolade¹,

Sunmola²

2021

EJECE

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Voltage and frequency stability is critical for network devices like routers, switches and radios. Prolonged exposure of these devices to extreme voltage or frequency makes them susceptible to damage. Since these devices are usually operated round the clock and oftentimes in remote places, it becomes necessary to monitor the quality of the power delivered to them. In this work, we developed a power monitoring system to provide remote access to the supply voltage and frequency of network equipment powered by an uninterrupted power supply system. We develop an instrumentation system to monitor the grid frequency, grid voltage, as well as the UPSS output voltage. We equally present a complete system that processes sensors’ data and make them available to a remote server over a cellular network with a robust email and SMS notification system. Sensors data collated over one month show consistent results with correlation of 0.95 with an overall system power consumption of 83 mA.

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“…The equipment mentioned above was utilized to upload the sensor's data to the ThingSpeak cloud, to be processed fast and visualized. Alternatively, Tarase et al [20] proposed a methodology for voltage and current monitoring system via monitoring a simple one-phase electric system by utilizing an Arduino microcontroller in reading sensors observed values of voltagecurrent over wireless transmitting the gathered information to a new Android application to monitor the results. The system estimated both the voltage and current and the frequency of line and power factor by employing detectors for zero crossings.…”

Section: Literature Surveymentioning

confidence: 99%

Cloud-Based Automated Power Factor Correction and Power Monitoring

Shubbar¹,

Abdul-Rahaim²,

Hamad³

2021

MMEP

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Energetic life-sustaining needs, such as electrical power, are essential for everyday existence. It is commonly used in residential, industrial, farming, and medical facilities. Life without energy is minimal. Despite the vital need for electricity demand, losses curtailments and additional energy bills are still problems. Power factor correction is a method to fix or minimize mentioned problems. Automated power factor correction (APFC) will precede good contrivance for correction. Several studies on established systems endeavoured to improve power factor via local calculation and correction, android application, or web monitoring with disparity results and node types. The purpose of this treatise is to suggest a neoteric cloud APFC with neural network design advances to recent designs of APFC that depend on IoT and cloud. This design used a private cloud utilizing raspberry pi and a neural network to correct the power factor of homes in a single algorithm, and cloud helping in hosting and accessed on-demand at any time and from everywhere as long as the Internet is accessible and the neural for determining the capacitance value for power factor correction. In addition, this design will minimize devices used, give precise results, minimize the cost of the bill and make the easy utility monitoring of the power factor before and after correction.

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Monitoring & Controlling of Substation Using IoT in Distribution Power Grid

Cited by 13 publications

References 4 publications

Power Line Data Online Acquisition System of Distribution Network Based on ZigBee

Power Line Data Online Acquisition System of Distribution Network Based on ZigBee

Cellular Internet of Things Based Power Monitoring System for Networking Devices

Cloud-Based Automated Power Factor Correction and Power Monitoring

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