Monitoring of transformer parameters using Internet of Things in Smart Grid

Jadhav, Ravikumar V.; Lokhande, Sandip S.; Gohokar, V.N.

doi:10.1109/iccubea.2016.7859994

Cited by 15 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Developing intelligent control and monitoring systems, incorporating elements of the Internet of Things (IoT) and machine learning, is crucial to optimizing next-generation transformer operation, prediction. 29 Furthermore, cybersecurity is essential to protect these digitally connected transformers from potential threats. 30 Lastly, exploring sustainable end-of-life management and recycling solutions can be vital to reducing the environmental footprint of transformers.…”

Section: Opportunities and Challenges Of Integrationmentioning

confidence: 99%

Towards next generation power grid transformer for renewables: Technology review

Agarwala,

Tahsin,

Ali

et al. 2024

Engineering Reports

View full text Add to dashboard Cite

This paper develops a technical framework for the next‐generation power grid transformer (NGPGT) for grid renewables. This framework is structured to overcome the environmental challenges produced by the explosive use of nonrenewable base energy generation sources. The use of these sources cannot meet the required electricity for the world's growing community due to their availability, cost, and lack of flexibility. However, modern energy systems focus on the use of renewable energy sources, where the grid transformer's interaction plays an essential role in their generation, transmission, and distribution. The lack of centralization, local monitoring, interoperability, authenticity, and precise bi‐directional flow may limit the application of current framework power grid transformers in grid renewables. In this paper, a new technical framework, called NGPGT, is developed by introducing some extended features for addressing the challenges shown in current‐generation transformers. This is structured by enabling some advanced technical features with the existing framework, which includes automatic condition monitoring, intelligent inverters, edge computing, automatic controlling, and intelligent management. This paper also illustrates the benefits and scope of the NGPGT compared to the existing transformer by assembling essential requirements and obligatory components. Additionally, this paper highlights a few difficulties of implementing NGPGT in terms of operational, communication, energy management, and economic points of view, which may enable further research scopes for the researchers.

show abstract

Section: Opportunities and Challenges Of Integrationmentioning

confidence: 99%

Towards next generation power grid transformer for renewables: Technology review

Agarwala,

Tahsin,

Ali

et al. 2024

Engineering Reports

View full text Add to dashboard Cite

show abstract

“…Due to the large data differences and measurement errors between the transformer oil chromatographic data, the number of samples used only for fault state estimation will affect the final classification performance. In addition, due to different transformer models and peripherals, there are some differences in data [20]. Therefore, in order to effectively eliminate the impact of data differences on fault determination, this article introduces the following normalization methods for preprocessing sample data sets.…”

Section: Sample Preprocessingmentioning

confidence: 99%

Deep Primary and Secondary Fusion Transformer Based on Internet of Things Technology

Zhang¹,

Wu²,

Chen³

et al. 2022

IJACSA

View full text Add to dashboard Cite

As one of the core equipment of power system, power transformer has great fault influence and complex fault causes. In order to ensure the safe and stable operation of power system, its operation state must be monitored and judged. With the increasing maturity of the Internet industry and the continuous development of sensor technology, the emergence of smart grid has contributed to the realization of intelligent transformer on-line monitoring, condition evaluation and fault diagnosis. This paper studies the deep primary and secondary fusion transformer based on the Internet of Things technology, summarizes the development status of intelligent transformer and its existing problems on the basis of relevant literature, and proposes the optimization technology of deep primary and secondary fusion transformer based on the Internet of Things technology to solve its existing problems, and conducts related experiments and fault detection research on the proposed technology. The experimental results show that this optimization technology has good feasibility, good self-state evaluation and fault diagnosis functions. The deep primary and secondary fusion based on the Internet of Things technology proposed in this study can increase the reliability monitoring of intelligent transformer operation, provide a strong technical guarantee for the normal operation of distribution network, and also provide important technical support for the next research of distribution network technology.

show abstract

“…Then sending a text message to the line operator through (GSM) (Global System for Mobile Communications). Ravikumar V. Jadhav et al [10] proposed a system for monitoring the power distribution transformer metrics and accessing transformer data in real-time using the Internet of Things. The system monitors the primary and secondary voltages on both sides of the transformer, as well as the primary and secondary currents from the supply unit, transformer temperature, active and reactive power.…”

Section: Related Workmentioning

confidence: 99%

Low Cost Portable System for Converting Mosul Electrical Substations to Smart One’s

AlKasap¹,

Hagem²

2021

(AREJ)

View full text Add to dashboard Cite

Today electricity supplement still has power failures and blackouts due to the lack of automated analysis and the utility's low visibility over the grid. Small and undetected electrical problems can have far-reaching consequences. These failures cause not only high-energy losses, but also costly unscheduled outages, severe injury to employees, and even a fire. Therefore, the monitoring of electrical substations is essential to detect faults and ensure long-term safe operation, safety, protection, and reliability. Internet of things technology provides the possibility of obtaining station data in realtime. In this research, two systems were designed, implemented, and tested in high voltage electric stations. The first part is designed to obtain data on the environmental conditions at the substations, and the important parameters from the transmission lines at the substations in real-time, which help to prevent power outages by relying on engineers who can analyze comprehensively the electrical energy. The system also provides the Automatic Under Frequency Load Shedding ability if the frequency in the stations falls below the normal limit, which contributes to maintain the efficiency and the quality of electrical energy in the substations, and provides protection for the substations. The second part is designed to obtain the values of the parameters that determine the electrical transformers' conditions and monitors the status of the line in terms of switching off and on in real-time at the substations. Thus, these proposed systems are transforming the traditional substations into smart substations. The performance of the system is introduced based on correlation of data and percentage error. The best correlation was for the current data and the least percentage error was for the current. We strongly believed that the proposed system is vesible.

show abstract

Monitoring of transformer parameters using Internet of Things in Smart Grid

Cited by 15 publications

References 11 publications

Towards next generation power grid transformer for renewables: Technology review

Towards next generation power grid transformer for renewables: Technology review

Deep Primary and Secondary Fusion Transformer Based on Internet of Things Technology

Low Cost Portable System for Converting Mosul Electrical Substations to Smart One’s

Contact Info

Product

Resources

About