Intelligent Modular Controller for Implementing the Digital Protection of Transformers as AI Algorithms Techniques
Accurate temperature control of power transformer is the challenging task to every power system engineers. Nowadays Mercury based temperature sensing and actuating systems are installed for controlling the power transformer temperature and tripping the breakers whenever the temperature is exceeded t...
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Published in: | 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) pp. 903 - 908 |
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Main Authors: | , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
04-01-2024
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Subjects: | |
Online Access: | Get full text |
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Summary: | Accurate temperature control of power transformer is the challenging task to every power system engineers. Nowadays Mercury based temperature sensing and actuating systems are installed for controlling the power transformer temperature and tripping the breakers whenever the temperature is exceeded the desired preset value. But the drawback of these control methods is lack of accuracy in sensing of temperature and sluggish control or slow response. A new approach or method for controlling and monitoring the temperature of the power transformer is prescribed and the associated control components are discussed. The intelligent control system uses the Programmable Logic Controller (PLC) and Graphical Operating Terminal (GOT) Display unit for the control purpose. The ON command to cooling fan and TRIP signal to circuit breaker are given from the controller. The algorithm is written into the PLC in the form of ladder program. The reference values and actual values are displayed in the GOT. In this study, the required control modules and programming part are discussed to implement the intelligent control of temperature of power transformer. The controller is trained for the past history and necessary scripts are written to take the action in its own for the specific problem using AI based techniques. |
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DOI: | 10.1109/IDCIoT59759.2024.10467601 |