Abstract

Flashover on transmission and distribution line insulators occurs when the insulator’s resistance drops to a critical level and causes frequent power outages. Thin layers of dust, salt, and airborne particles, gradually deposited on the surface of insulators, as well as humidity, form an electrolyte which causes flashover. In this paper, a flashover prevention system using IoT technology and machine learning is proposed in order to reduce loss and increase power reliability. The system includes an IoT module, a service and clients. The IoT module prototype was installed at a distribution line pole located in Pracha-utit, Bangkok, Thailand and had collected data for thirty-four months. The data were pre-processed and split for the training process and evaluation. In this study, we built and compared four models including linear regression, polynomial regression, Auto-regressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) models. The results revealed that the LSTM model outperformed (<em>R</em><sup>2</sup>=.931, RMSE= 530.74) the others.

Highlights

  • Electrical power or electricity is invisible but plays an extremely important role in our daily lives in almost all sectors, such as industry, education, transport, communication, and others

  • When the electricity flows through a long cable, it will lose the energy to the resistance along the cable

  • Dust has a significant effect on the flashover, the Internet of Things (IoT) module distinguished and collected only dust by reading the output with the synchronized LED pulse on the sensor during a certain time period by a program running on the MCU

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Summary

Introduction

Electrical power or electricity is invisible but plays an extremely important role in our daily lives in almost all sectors, such as industry, education, transport, communication, and others. The generated electricity is transmitted to the consumers through the cables on the transmission and distribution systems. Distribution, the generated electricity is stepped up to a much higher level (known as high voltage) by using a step-up transformer, since the corresponding power loss decreases by the square of the current, according to Ohm’s law (P=I2R) [3]. The highvoltage electricity is transmitted to the consumers through the transmission and distribution lines which are either overhead or underground power cables. Contamination or pollution from dust deposited on the insulator surface is an important problem that affects the insulation performance of the insulators. The system is able to send an alert to the substation operators to start cleaning the insulators

Flashover on contaminated insulators
IoT remote sensors for the transmission system
Wide area network for long-range IoT
Time-series forecasting
System Architecture
IoT module
Implementation
Distinguishing smoke and dust particles
Dust concentration and relative humidity
Machine learning process
Conclusion
Authors
Full Text
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