Electrical Distribution Industry - Long Term Load Forecast on Ilesha Road 11kV Feeder, Akure, Ondo State, Nigeria

This paper presents an investigative study on a selected 11 kV distribution feeder network in Akure township, Nigeria, aimed at evaluating power distribution problems and solution proposals for effective application of existing 11 kV feeders for power supply within Nigeria. Based on peak loads recor...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of engineering research in Africa (Print) 2018-08, Vol.37, p.52-61
Hauptverfasser: Melodi, Adegoke Oladipo, Ogunboyo, Patrick Taiwo
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 61
container_issue
container_start_page 52
container_title International journal of engineering research in Africa (Print)
container_volume 37
creator Melodi, Adegoke Oladipo
Ogunboyo, Patrick Taiwo
description This paper presents an investigative study on a selected 11 kV distribution feeder network in Akure township, Nigeria, aimed at evaluating power distribution problems and solution proposals for effective application of existing 11 kV feeders for power supply within Nigeria. Based on peak loads recorded on the feeder for 8 years a long term load forecast up to 2021 was carried out using “Trend’ and “Growth’ functions in Excel worksheet. These functions use Method of Least Squares. The peak network load is 8 MW and the expected load in 2021 is 14.5 MW (18.5 MVA at 0.8 power factor) after an exponential growth rate of 0.6 MW per annum. There is need to increase the rating of the power transformer feeding the feeder in order to enhance the security power supply to the network. Furthermore, the Power Company must provide standard input voltage (1.05x11 kV) to the network in order to normalize end-users voltage quality.
doi_str_mv 10.4028/www.scientific.net/JERA.37.52
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2197383552</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2197383552</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1382-372860be17095ba3c73c305e148e05dab42e0e6976785a8549f9cad3bb7718f93</originalsourceid><addsrcrecordid>eNqNkN1LwzAUxYsoOOb-h4D4tnb5aJr2QWToppPhYE5fQ5reavbRuiRl7L-3c4O9-nTPvZxzD_yC4I7gKMY0Hex2u8hpA5U3pdFRBX7wOpoPIyYiTi-CDkkSFsYkji9PmnFBroOec0uMMc0SSmPcCbajNWhvjVZr9GRcq_LGm7pCk6po2nWPQjStqy-0ALtplSrQuLaglfPo4FqD-1ZofrgTsvpEY4ACbB8NV42FPppVRY3evfKtfjNfYI26Ca5KtXbQO81u8DEeLR5fwunsefI4nIaasJSGTNA0wTkQgTOeK6YF0wxzIHEKmBcqjylgSDKRiJSrlMdZmWlVsDwXgqRlxrrB7fHvj623DTgvl3Vjq7ZSUpIJljLOaeu6P7q0rZ2zUMofazbK7iXB8gBatqDlGbRsQcsDaMmE_Ms_HPPeqsp50N_nmv99-AW_to00</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2197383552</pqid></control><display><type>article</type><title>Electrical Distribution Industry - Long Term Load Forecast on Ilesha Road 11kV Feeder, Akure, Ondo State, Nigeria</title><source>Scientific.net Journals</source><creator>Melodi, Adegoke Oladipo ; Ogunboyo, Patrick Taiwo</creator><creatorcontrib>Melodi, Adegoke Oladipo ; Ogunboyo, Patrick Taiwo</creatorcontrib><description>This paper presents an investigative study on a selected 11 kV distribution feeder network in Akure township, Nigeria, aimed at evaluating power distribution problems and solution proposals for effective application of existing 11 kV feeders for power supply within Nigeria. Based on peak loads recorded on the feeder for 8 years a long term load forecast up to 2021 was carried out using “Trend’ and “Growth’ functions in Excel worksheet. These functions use Method of Least Squares. The peak network load is 8 MW and the expected load in 2021 is 14.5 MW (18.5 MVA at 0.8 power factor) after an exponential growth rate of 0.6 MW per annum. There is need to increase the rating of the power transformer feeding the feeder in order to enhance the security power supply to the network. Furthermore, the Power Company must provide standard input voltage (1.05x11 kV) to the network in order to normalize end-users voltage quality.</description><identifier>ISSN: 1663-3571</identifier><identifier>ISSN: 1663-4144</identifier><identifier>EISSN: 1663-4144</identifier><identifier>DOI: 10.4028/www.scientific.net/JERA.37.52</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><subject>Electric potential ; Electric power distribution ; Feeders ; Least squares method ; Load ; Long term ; Peak load ; Power factor ; Power supplies ; Power supply</subject><ispartof>International journal of engineering research in Africa (Print), 2018-08, Vol.37, p.52-61</ispartof><rights>2018 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. Aug 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1382-372860be17095ba3c73c305e148e05dab42e0e6976785a8549f9cad3bb7718f93</cites><orcidid>0000-0002-3065-1280 ; 0000-0001-9965-1759</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/4840?width=600</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Melodi, Adegoke Oladipo</creatorcontrib><creatorcontrib>Ogunboyo, Patrick Taiwo</creatorcontrib><title>Electrical Distribution Industry - Long Term Load Forecast on Ilesha Road 11kV Feeder, Akure, Ondo State, Nigeria</title><title>International journal of engineering research in Africa (Print)</title><description>This paper presents an investigative study on a selected 11 kV distribution feeder network in Akure township, Nigeria, aimed at evaluating power distribution problems and solution proposals for effective application of existing 11 kV feeders for power supply within Nigeria. Based on peak loads recorded on the feeder for 8 years a long term load forecast up to 2021 was carried out using “Trend’ and “Growth’ functions in Excel worksheet. These functions use Method of Least Squares. The peak network load is 8 MW and the expected load in 2021 is 14.5 MW (18.5 MVA at 0.8 power factor) after an exponential growth rate of 0.6 MW per annum. There is need to increase the rating of the power transformer feeding the feeder in order to enhance the security power supply to the network. Furthermore, the Power Company must provide standard input voltage (1.05x11 kV) to the network in order to normalize end-users voltage quality.</description><subject>Electric potential</subject><subject>Electric power distribution</subject><subject>Feeders</subject><subject>Least squares method</subject><subject>Load</subject><subject>Long term</subject><subject>Peak load</subject><subject>Power factor</subject><subject>Power supplies</subject><subject>Power supply</subject><issn>1663-3571</issn><issn>1663-4144</issn><issn>1663-4144</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkN1LwzAUxYsoOOb-h4D4tnb5aJr2QWToppPhYE5fQ5reavbRuiRl7L-3c4O9-nTPvZxzD_yC4I7gKMY0Hex2u8hpA5U3pdFRBX7wOpoPIyYiTi-CDkkSFsYkji9PmnFBroOec0uMMc0SSmPcCbajNWhvjVZr9GRcq_LGm7pCk6po2nWPQjStqy-0ALtplSrQuLaglfPo4FqD-1ZofrgTsvpEY4ACbB8NV42FPppVRY3evfKtfjNfYI26Ca5KtXbQO81u8DEeLR5fwunsefI4nIaasJSGTNA0wTkQgTOeK6YF0wxzIHEKmBcqjylgSDKRiJSrlMdZmWlVsDwXgqRlxrrB7fHvj623DTgvl3Vjq7ZSUpIJljLOaeu6P7q0rZ2zUMofazbK7iXB8gBatqDlGbRsQcsDaMmE_Ms_HPPeqsp50N_nmv99-AW_to00</recordid><startdate>20180806</startdate><enddate>20180806</enddate><creator>Melodi, Adegoke Oladipo</creator><creator>Ogunboyo, Patrick Taiwo</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-3065-1280</orcidid><orcidid>https://orcid.org/0000-0001-9965-1759</orcidid></search><sort><creationdate>20180806</creationdate><title>Electrical Distribution Industry - Long Term Load Forecast on Ilesha Road 11kV Feeder, Akure, Ondo State, Nigeria</title><author>Melodi, Adegoke Oladipo ; Ogunboyo, Patrick Taiwo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1382-372860be17095ba3c73c305e148e05dab42e0e6976785a8549f9cad3bb7718f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Electric potential</topic><topic>Electric power distribution</topic><topic>Feeders</topic><topic>Least squares method</topic><topic>Load</topic><topic>Long term</topic><topic>Peak load</topic><topic>Power factor</topic><topic>Power supplies</topic><topic>Power supply</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Melodi, Adegoke Oladipo</creatorcontrib><creatorcontrib>Ogunboyo, Patrick Taiwo</creatorcontrib><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of engineering research in Africa (Print)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Melodi, Adegoke Oladipo</au><au>Ogunboyo, Patrick Taiwo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Electrical Distribution Industry - Long Term Load Forecast on Ilesha Road 11kV Feeder, Akure, Ondo State, Nigeria</atitle><jtitle>International journal of engineering research in Africa (Print)</jtitle><date>2018-08-06</date><risdate>2018</risdate><volume>37</volume><spage>52</spage><epage>61</epage><pages>52-61</pages><issn>1663-3571</issn><issn>1663-4144</issn><eissn>1663-4144</eissn><abstract>This paper presents an investigative study on a selected 11 kV distribution feeder network in Akure township, Nigeria, aimed at evaluating power distribution problems and solution proposals for effective application of existing 11 kV feeders for power supply within Nigeria. Based on peak loads recorded on the feeder for 8 years a long term load forecast up to 2021 was carried out using “Trend’ and “Growth’ functions in Excel worksheet. These functions use Method of Least Squares. The peak network load is 8 MW and the expected load in 2021 is 14.5 MW (18.5 MVA at 0.8 power factor) after an exponential growth rate of 0.6 MW per annum. There is need to increase the rating of the power transformer feeding the feeder in order to enhance the security power supply to the network. Furthermore, the Power Company must provide standard input voltage (1.05x11 kV) to the network in order to normalize end-users voltage quality.</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/JERA.37.52</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-3065-1280</orcidid><orcidid>https://orcid.org/0000-0001-9965-1759</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1663-3571
ispartof International journal of engineering research in Africa (Print), 2018-08, Vol.37, p.52-61
issn 1663-3571
1663-4144
1663-4144
language eng
recordid cdi_proquest_journals_2197383552
source Scientific.net Journals
subjects Electric potential
Electric power distribution
Feeders
Least squares method
Load
Long term
Peak load
Power factor
Power supplies
Power supply
title Electrical Distribution Industry - Long Term Load Forecast on Ilesha Road 11kV Feeder, Akure, Ondo State, Nigeria
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T07%3A15%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Electrical%20Distribution%20Industry%20-%20Long%20Term%20Load%20Forecast%20on%20Ilesha%20Road%2011kV%20Feeder,%20Akure,%20Ondo%20State,%20Nigeria&rft.jtitle=International%20journal%20of%20engineering%20research%20in%20Africa%20(Print)&rft.au=Melodi,%20Adegoke%20Oladipo&rft.date=2018-08-06&rft.volume=37&rft.spage=52&rft.epage=61&rft.pages=52-61&rft.issn=1663-3571&rft.eissn=1663-4144&rft_id=info:doi/10.4028/www.scientific.net/JERA.37.52&rft_dat=%3Cproquest_cross%3E2197383552%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2197383552&rft_id=info:pmid/&rfr_iscdi=true