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A technical and financial analysis of smart prepaid split meters on Eskom's electric power distribution

dc.contributor.advisorDavidson, Innocent Ewaen
dc.contributor.authorNdaba, Sindi Irenen_US
dc.date.accessioned2021-08-11T13:03:00Z
dc.date.available2021-08-11T13:03:00Z
dc.date.issued2021-05-27
dc.descriptionSubmitted in fulfilment of the requirements of the degree of Master of Engineering in Electrical Power Engineering, Durban University of Technology, 2021.en_US
dc.description.abstractThe implementation of a smart metering system in the distribution network does not only promote energy loss reduction, but also improves smart grids. This improvement in smart grids is achieved by the high level information infrastructure, monitoring, accurate measurement and metering operations that provide a widespread communication substructure. The direct effect of smart prepaid split meters is on energy flow management and billing advancing, to aiding the power quality when combined with a smart grid system. The study focused on the technical and financial effectiveness of the smart prepaid split metering system on the Eskom distribution network. The objectives of the study were, to investigate the severity of non-technical losses in distribution networks before and after smart prepaid split metering roll-out; to investigate the effectiveness of smart prepaid split metering for the utility and customers; to analyze the technical performance on medium voltage (MV) and low voltage (LV) power distribution networks before and after smart prepaid split metering roll-out; and to analyze the effectiveness of smart prepaid split metering for revenue collections. The questionnaire instrumental survey and historical data were used for the analyses. The primary data was obtained from the questionnaire tool. The collected data were analyzed with the Statistical Package for the Social Sciences software (SPSS) version 26.0 and Microsoft Excel 2016 in order to achieve multiobjective decision-making on the effectiveness of smart prepaid split metering in the utility and customer satisfaction. The different inferential statistics techniques used included regressions, correlations, multifactor analysis (MFA), factor analysis (FA) and chi-square test values. These were interpreted using the p-values to identify the change-point, trend and correlated best-fit time series for decision making. This study concluded that the use of a smart prepaid split metering system faces challenges such as a shortage of experts for new smart meter technology to respond to the faults which led to unfavorable results for power system average interruption duration. The study recommended that South Africa’s power utility (Eskom) should consider educating and train more technical officials concerning smart grids and smart metering to ensure that this metering technology, which is still in the early stages of development, functions efficientlyen_US
dc.description.levelMen_US
dc.format.extent110 pen_US
dc.identifier.doihttps://doi.org/10.51415/10321/3631
dc.identifier.urihttps://hdl.handle.net/10321/3631
dc.language.isoenen_US
dc.subject.lcshElectric metersen_US
dc.subject.lcshSmart power gridsen_US
dc.subject.lcshElectric meters--South Africa--Costsen_US
dc.subject.lcshElectric power consumption--South Africa--Equipment and suppliesen_US
dc.subject.lcshElectric utilities--Costsen_US
dc.titleA technical and financial analysis of smart prepaid split meters on Eskom's electric power distributionen_US
dc.typeThesisen_US
local.sdgSDG03

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