Manuscript Title:

A NORMAL CLOUD MODEL FOR TRANSFORMER INSULATION CONDITION PROGNOSIS WITH OPTIMAL WEIGHTS USING IOT

Author:

R. SANKARGANESH, K. SASI KUMAR

DOI Number:

DOI:10.17605/OSF.IO/EWT5S

Published : 2021-11-23

About the author(s)

1. R. SANKARGANESH - Associate Professor, Department of Electrical and Electronics Engineering, Vinayaka Mission’s Kirupananda Variyar Engineering College, Vinayaka Mission’s Research Foundation (Deemed to Be University), Salem-636308, Tamil Nadu.
2. K. SASI KUMAR - M.E – Power System Engineering, Department of Electrical and Electronics Engineering, Vinayaka Mission’s Kirupananda Variyar Engineering College, Vinayaka Mission’s Research Foundation (Deemed To Be University), Salem-636308, Tamil Nadu, India.

Full Text : PDF

Abstract

A micro grid with numerous distributed generators (DGs), energy storage units, and loads is the regulation of power converters. Interfaces between the DGs and the micro grid bus are implemented by these converters. Distribution transformers are the most critical component of a distribution system. The life of a distribution transformer can be predicted by monitoring the condition of its oil and winding. Transformers are primarily used for power distribution and transmission, IOT (Internet of Thing). In this proposed method, using the transformer insulation condition system, various ongoing operations in the transformer are tracked using an IOT-based application. Voltage sensors detect the electric voltage in a wire and produce a signal in response. Current sensors detect the electric current supply in a wire and generate a signal to display the current. Temperature sensors are used to measure the heat energy or even coldness generated. Our (Artificial Intelligence) algorithm which is based on online monitoring of the main operational parameters of transformers, can provide useful information about the health of transformers, allowing utilities to make better use of their transformers and keep the asset in service for a longer period. This system allows us to detect any physical change in the system's temperature.


Keywords

Current Transformer, generative adversarial network algorithm, optimal weighting, normal cloud model, IOT (Internet of Thing).