Power Quality Assessment at Selected Industrial Plants in Addis Ababa City

dc.contributor.advisorWoldemariam, Wolde-Ghiorgis(Professor)
dc.contributor.authorTesega, Getenet
dc.date.accessioned2018-07-06T11:50:08Z
dc.date.accessioned2023-11-04T15:14:35Z
dc.date.available2018-07-06T11:50:08Z
dc.date.available2023-11-04T15:14:35Z
dc.date.issued2011-05
dc.description.abstractThis thesis presents a general-purpose power quality assessment at selected industries in the city of Addis Ababa. From the point of view of its academia purpose, the assessment investigates all the major transient and steady state electrical phenomena that disturb the power quality of a conventional power system. As such, the seven major categories of power quality phenomena listed by the IEEE Standard 1159-1995 are assessed in this thesis work. The necessary data are collected from recorded data of the Ethiopian Electric Power Corporation and plants of study, from phenomena record of utility eqiupments, and through direct measurement using harmonic analyzer. The time schedule of data collection and measurements, as to meet the IEEE requirements, varies from a single power-period to 11- years depending on the power quality event to be studied. From the ground of the objective of the assessment, the monitoring locations on the other hand are chosen to be the service entrances of the corresponding industries. The collected data are analyzed and the results are then compared with the IEEE requirements. In that case, voltage variations reaching 21% and frequency deviations of 1% to 4% are discovered. Current distortions of THD value that reach 33.5% are also discovered at Wubcon plc. Harmonic filters, that have an added feature of power factor correction, are therefore designed for Wubcon plc. Software simulations are run using SimPowerSystems, Simulink to show the level of mitigation of the proposed solutions for capacitor-switching transients. The designed filters for Wubcon plc are also run on SimPowerSystems. Key words: Power quality, Power quality phenomena, IEEE standards, Reliability indices, Benchmarking metricsen_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/7022
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectPower qualityen_US
dc.subjectPower quality phenomenen_US
dc.subjectAIeee standardsen_US
dc.subjectReliability indicesen_US
dc.subjectBenchmarking metricsen_US
dc.titlePower Quality Assessment at Selected Industrial Plants in Addis Ababa Cityen_US
dc.typeThesisen_US

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