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IJSTR >> Volume 1 - Issue 9, October 2012 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Simulating Power Distribution Network In Nigeria - The Ikpoba-Hill District Network As A Case Study

[Full Text]

 

AUTHOR(S)

G. I. Ighalo, A. A. Williams

 

KEYWORDS

Keywords:- data, distribution, GIS, GPS, map, network.

 

ABSTRACT

ABSTRACT:- The difficulty encountered by the Power Holding Company of Nigeria (PHCN) in the distribution of the insufficient electrical energy generated, has led to this research. Ikpoba-hill network is one of the busiest and high demand networks in Nigeria. It is a 33/11 KV substation which experiences blackout especially with the many industries within its area of jurisdiction. The non availability of proper location as well as details about the transmission lines, poles and transformers calls for concern. To simulate the power distribution network, the Geographical information system (GIS) and the Global positioning system (GPS) techniques were used. Through the use of the GIS, consumer indexing (CI) can effectively be made to manage information on distribution of electricity to consumers and information describing the attributes of each consumer such as location, consumption pattern, the various circuit connections, feeders, etc. Both the geometric data and attribute data collected are entered into the system through MS Excel and later exported into Arc View. Results of the study, show how low loss reduction strategy can be formulated for the Ikpoba-hill network and hence for Nigeria.

 

REFERENCES

[1] Coppock, J. T., and D. W. Rhind, (1991). The history of GIS. Geographical Information Systems: principles and applications. Ed. David J. Maguire, Michael F. Good child and David W. Rhind. Essex: Longman Scientific & Technical, 1991. 1: 21-43.\"The history of GIS.\". http://scholar.google.com/scholar?cluster=13820827634229141183&hl=en&as_sdt=10000000000000. Retrieved 2010-09-17.

[2] Cowen 1988 \"GIS VERSUS CAD VERSUS DBMS: WHAT ARE THE DIFFERENCES ?\" PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING Vol. 54, No.11, November 1988, pp. 1551-1555. http://funk.on.br/esantos/doutorado/GEO/igce/DBMS.pdf last retrieved 9/17/2010.

[3] ESRI (2001): Electricity Distribution ArcGIS Data Model

[4] Fitzgerald, Joseph H.. \"Map Printing Methods\". Archived from the original on 2007-06-04. http://web.archive.org/web/20070604194024/http://www.broward.org/library/bienes/lii14009.htm. Retrieved 2007-06-09.

[5] Fu, P., and J. Sun. 2010. Web GIS: Principles and Applications. ESRI Press. Redlands, CA. ISBN 158948245X.


[6] Gao, Shan. Paynter, John. & David Sundaram, (2004) \"Flexible Support for Spatial Decision-Making\" Proc. of the 37th Hawaii International Conference on System Sciences 5-8 pp. 10

[7] \"GIS Hall of Fame - Roger Tomlinson\". URISA. http://www.urisa.org/node/395. Retrieved 2007-06-09.

[8] NEPA (1998): Fact of the matter, NEPA checking the odds, Pp1-7, Public Relation

[9] \"Open-Source GIS History OSGeo Wiki Editors\". http://wiki.osgeo.org/wiki/Open_Source_GIS_History. Retrieved 2009-03-21.

[10] Wikipedia (2008). The Free Encyclopaedia, 2008.