hotspot detection and fault level prediction on 6

8/10/2019 Hotspot Detection and Fault Level Prediction on 6

1/14

HOTSPOT DETECTION AND FAULT LEVEL

PREDICTION ON 6 6 KV DISTRIBUTION BOARD

Phase-1: Problem Definition

Under the guidance of

Int guide: Prof. B. S. Sree Shailan

Ext guide: JIBYMON C JOSE(Dy.mngr JSW steel company,

Bellary)

Sanjeev Kumar T

M


2/14

CONTENTS

INTRODUCTION THE ADVANTAGES OF NON-CONTACT

TEMPERATURE MEASUREMENT

USE OF INFRARED THERMOGRAPHY LITERATURE REVIEW

OBJECTIVES OF PROPOSED WORK

APPROACH OF THE PROJECT EXPECTED OUTCOMES OF THE PROJECT

BIBLIOGRAPHY


3/14

INTRODUCTION

Nowadays, the electrical energy distribution is considered as critical infrastructure in

industrially developed societies and its protection regarding safety and security

threats are being more and more used.

The fact that this infrastructure is geographically spread across huge areas brings

difficult technological challenges for the real-time prevention, detection and precise

localization of anomalies.

The protection and localization of faults in the electrical energy distribution is a key

task for any operator of such an infrastructure.

Securing the main infrastructure components through the deployment of secure non

contacting sensors and PLC/DCS networks providing remote monitoring and alarm

capabilities specifically in the detection of the hotspot and fault location is an

attractive option for achieving this goal.

This work considers the planned architecture and high-level implementation

solutions for the non contacting sensor network system, including a description of

the protected equipment and the hardware and software architecture to be used todetect anomalies.


4/14

CONT.

Thermography provides the means by which on-going preventivemaintenance can be carried out. It enables engineers to inspect vitalHVAC equipment, cooling systems, electrical switchgear, powerdistribution units (PDU) and other electrical devices quickly andeasily. Thermal imaging, or infrared thermography, visualizes andmeasures infrared radiation emitted from objects. This technologycan therefore be applied in any application where the performance orcondition of a component can be revealed by means of thermaldifference.

In the Low Voltage Electrical Switchboard Industry the main causeof switchboard fire is an undetected "Hot Spot". Thermographic

cameras can detect hotspots which are invisible to the naked eyewell before they progress into an electrical equipment failure,electrical fire or potentially a switchboard explosion. Early detection ofhotspots is key & may save company time and money by assisting ineliminating unexpected equipment outages and minimising businessdisruptions.


5/14

THE ADVANTAGES OF NON-CONTACT

TEMPERATURE MEASUREMENT ARE:

- Temperature measurements of moving oroverheated objects and of objects in hazardoussurroundings.

- Very fast response and exposure times. - Measurement without interaction, no influence

on the measuring object.

- Non-destructive measurement. - Long lasting measurement, no mechanical

wear.

-Thermal imaging finds hot spots in electricalreventive maintenance ro rams.


6/14


7/14

LITERATURE REVIEW

Zhanghong Tang,.et.al(2011), College of Material Science and Engineering,Beijing University of Technology, have undertaken a research on HotspotDetection by Improved Adaptive Finite Element Method and its Application

in High Speed PCBs and IC Packages Design ,IEEE, and the results showthat the adaptive FEM only uses about 60 times memory and CPU time todetect all hotspots in the package comparing to the initial FEM solution.

C. Fortunato,et al,.(2012), EDPEnergias de Portugal, Lisboa, haveunder taken a research on Fault Location in an Electrical Energy

Distribution Infrastructure with a Wireless Sensor Network using detailedanalysis of the applicability of wireless systems in the localization of faults inthe energy distribution network, and the wireless sensors allow remotedetection of medium and low voltage (MV/LV) power transformer hotspots inorder to identify emerging malfunction as well as detection of intrusion in theMV/LV power transformers.

Grilo.A,.et al,. (2010), Wireless Sensor Networks for theProtection of anElectrical Energy Distribution Infrastructure, Springer, From a safety andsecurity point of view, the electrical energy distribution infrastructure needsto be protected.. In this paper solutions to increase the safety aspects ofsubstation components, power lines and power transformers. The sensornetwork interacts with the SCADA system of the electricity provider to allowfor centralised control of the protection system.


8/14


9/14


10/14

OBJECTIVES OF PROPOSED WORK:

Using PLC and analytical detection of arc flash in a distribution board

and using communicable sensors. To detect hotspot and fault levelprediction in a distribution board. These are controlled and monitoredin a remote control room using plc.

To improve the system operation and efficiency.

To reduce the manpower to detect the fault again and again.

From the above literature, review is trying to overcome the hotspotwithout using pyrometer or any other portable instrument. To detectthe hotspot and fault level all these monitor and control in a controlroom only.

This will improve the quality of service, increase the electrical system

reliability and maximize the operational efficiency.


11/14

APPROACH OF THE PROJECT

Analysis method - arc flash (Cal/cm2) analysis.

Using PLC programming method to detect and

predict the possible fault location through thermal

imaging.

PLC control and thermal imaging sensor method.


12/14

EXPECTED OUTCOMES OF THE

PROJECT

To improve upon the existing scenario ofdistribution board.

To improve the system operation and efficiency ofdistribution board.

To reduce the manpower to detect the faultfrequently.

To improve the quality of service in distribution

system.


13/14

BIBLIOGRAPHY

Grilo, A. Casaca, M. Nunes, C. Fortunato, Wireless Sensor Networks for the Protection of an

Electrical Energy Distribution Infrastructure, in IFIP AICT 328, IFIPTC11 International Conference

CIP 2010, Springer, ISSN 1868-4238, pp. 373-383,September 2010.

Zhanghong Tang, Fei He, Jun Zhu, Hotspot Detection by Improved Adaptive Finite Element

Method and its Application in High Speed PCBs and IC Packages Design,978-1-4244-8559-8/11/

2011 IEEE.

C. Fortunato,et al,.(2012), PAC World magazine Fault Location in an Electrical Energy

Distribution Infrastructure with a Wireless Sensor Network

Yen-Ting Yu, Ya-Chung Chan, Subarna Sinha, Iris Hui-Ru Jiang, and Charles Chiang, Accurate

Process-Hotspot Detection Using Critical Design Rule Extraction DAC 2012, June 3-7, 2012, San

Francisco, California, USA.Copyright 2012 ACM 978-1-4503-1199-1/12/06.

Sheng Chang, Qijun Huang, Hao Wang, Mincai He, and Feng Dai, High PrecisionMulticolorimetric Pyrometer with a Novel Photoelectric MOSFET,0018-9456 2013 IEEE

conference publication.

H. Yao, S. Sinha, C.Chiang, X. Hong, Y. Cai, Efficient Process-Hotspot Detection Using Range

Pattern Matching, ICCAD 2006, Nov 5-9 2006, San Jose, USA.Copyright 2006 ACM 1-59593-389-

1/06/0011.


14/14

hotspot detection and fault level prediction on 6

Documents