{"title":"Reliability analysis of power system network: A case study of transmission company of Nigeria, Benin City","authors":"A. Airoboman, E. A. Ogujor, I. KOkakwu","doi":"10.1109/POWERAFRICA.2017.7991206","DOIUrl":null,"url":null,"abstract":"The Nigerian Power System Network is presently characterized by poor reliability with respect to customer's uncertainty with respect to how long the electric power supplied can last before they are put on load-shedding or otherwise. Data was collated from the daily operational log books of five feeders emanating from the Transmission Company of Nigeria, Benin City, Nigeria. The reliability indices have been calculated and the results interpreted using a spreadsheet. A mathematical model has also been developed for the network using the curve fitting tool in the MATLAB (2013) environment and a corresponding Simulink model was eventually developed from the mathematical model. The results show that the priority feeder has the highest reliability of 97.8% while the feeders characterized with obsolete equipment has the least reliability of 78.4% The results further shows a deviation from the world and ASAI Reliability and Availability standard an indication that the feeders needs to be optimized for a better productivity.","PeriodicalId":6601,"journal":{"name":"2017 IEEE PES PowerAfrica","volume":"1 1","pages":"99-104"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE PES PowerAfrica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERAFRICA.2017.7991206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
The Nigerian Power System Network is presently characterized by poor reliability with respect to customer's uncertainty with respect to how long the electric power supplied can last before they are put on load-shedding or otherwise. Data was collated from the daily operational log books of five feeders emanating from the Transmission Company of Nigeria, Benin City, Nigeria. The reliability indices have been calculated and the results interpreted using a spreadsheet. A mathematical model has also been developed for the network using the curve fitting tool in the MATLAB (2013) environment and a corresponding Simulink model was eventually developed from the mathematical model. The results show that the priority feeder has the highest reliability of 97.8% while the feeders characterized with obsolete equipment has the least reliability of 78.4% The results further shows a deviation from the world and ASAI Reliability and Availability standard an indication that the feeders needs to be optimized for a better productivity.
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