Integration of GIS with Survey Data for Electrical Asset Mapping in Robertsganj town of India
GIS based consumer indexing and electrical network mapping delivers a tool for consumer, asset and electrical load management for actual decision making in the power sector and its database applications can increase the utility’s efficiency if appropriately integrated with other business development...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
„Ștefan cel Mare” University Press
2016-09-01
|
Series: | GEOREVIEW: Scientific Annals of Stefan cel Mare University of Suceava. Geography Series |
Online Access: | http://georeview.ro/ojs/index.php/revista/article/view/364 |
id |
doaj-750d08b5ad574d56ae25881af1c70dd9 |
---|---|
record_format |
Article |
spelling |
doaj-750d08b5ad574d56ae25881af1c70dd92021-06-02T11:53:31Zeng„Ștefan cel Mare” University PressGEOREVIEW: Scientific Annals of Stefan cel Mare University of Suceava. Geography Series1583-14692016-09-01261117404Integration of GIS with Survey Data for Electrical Asset Mapping in Robertsganj town of IndiaPraveen Kumar RAIGIS based consumer indexing and electrical network mapping delivers a tool for consumer, asset and electrical load management for actual decision making in the power sector and its database applications can increase the utility’s efficiency if appropriately integrated with other business developments. In India, the power submission department continuously wishes to update their consumer data and the related electric asset features. The consumer’s data source has to be recorded and show the pertinent linkages with the distribution transformer (DTR), feeder and substation. The present paper mainly focus on the application of geographic information system (GIS) integrated with high resolution remote sensing data and field survey data for mapping of various electrical asset elements of Roberstganj town of Uttar Pradesh, India. The electrical assets like high tension line (HT), low tension lines (LT), distribution transformers (DTRs), various types of electrical poles, feeders, substations etc. of Robertsganj town are extensively surveyed using the high resolution remote sensing data and then updated on GIS platforms using ARC GIS-10.3 software. The exact location of each electrical asset elements of the study area is captured using GPS and same has been plotted on the remote sensing data. In the study area electrification rate is low which approximately 50-60% is and quality power supply is still a faraway. It is identified that the total HT and LT pole in 2011 is 959 and 1421 respectively while it is 1733 and 1899 in 2015. Electric data base prepared though GIS is very useful for decision making, future planning and study such as locations of dangerous poles, load on a specific transformer or location of loose jumpers of HT/LT lineshttp://georeview.ro/ojs/index.php/revista/article/view/364 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Praveen Kumar RAI |
spellingShingle |
Praveen Kumar RAI Integration of GIS with Survey Data for Electrical Asset Mapping in Robertsganj town of India GEOREVIEW: Scientific Annals of Stefan cel Mare University of Suceava. Geography Series |
author_facet |
Praveen Kumar RAI |
author_sort |
Praveen Kumar RAI |
title |
Integration of GIS with Survey Data for Electrical Asset Mapping in Robertsganj town of India |
title_short |
Integration of GIS with Survey Data for Electrical Asset Mapping in Robertsganj town of India |
title_full |
Integration of GIS with Survey Data for Electrical Asset Mapping in Robertsganj town of India |
title_fullStr |
Integration of GIS with Survey Data for Electrical Asset Mapping in Robertsganj town of India |
title_full_unstemmed |
Integration of GIS with Survey Data for Electrical Asset Mapping in Robertsganj town of India |
title_sort |
integration of gis with survey data for electrical asset mapping in robertsganj town of india |
publisher |
„Ștefan cel Mare” University Press |
series |
GEOREVIEW: Scientific Annals of Stefan cel Mare University of Suceava. Geography Series |
issn |
1583-1469 |
publishDate |
2016-09-01 |
description |
GIS based consumer indexing and electrical network mapping delivers a tool for consumer, asset and electrical load management for actual decision making in the power sector and its database applications can increase the utility’s efficiency if appropriately integrated with other business developments. In India, the power submission department continuously wishes to update their consumer data and the related electric asset features. The consumer’s data source has to be recorded and show the pertinent linkages with the distribution transformer (DTR), feeder and substation. The present paper mainly focus on the application of geographic information system (GIS) integrated with high resolution remote sensing data and field survey data for mapping of various electrical asset elements of Roberstganj town of Uttar Pradesh, India. The electrical assets like high tension line (HT), low tension lines (LT), distribution transformers (DTRs), various types of electrical poles, feeders, substations etc. of Robertsganj town are extensively surveyed using the high resolution remote sensing data and then updated on GIS platforms using ARC GIS-10.3 software. The exact location of each electrical asset elements of the study area is captured using GPS and same has been plotted on the remote sensing data. In the study area electrification rate is low which approximately 50-60% is and quality power supply is still a faraway. It is identified that the total HT and LT pole in 2011 is 959 and 1421 respectively while it is 1733 and 1899 in 2015. Electric data base prepared though GIS is very useful for decision making, future planning and study such as locations of dangerous poles, load on a specific transformer or location of loose jumpers of HT/LT lines |
url |
http://georeview.ro/ojs/index.php/revista/article/view/364 |
work_keys_str_mv |
AT praveenkumarrai integrationofgiswithsurveydataforelectricalassetmappinginrobertsganjtownofindia |
_version_ |
1721404528049258496 |