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dc.contributor.authorAyebazibwe, Raymond
dc.date.accessioned2022-05-05T06:28:21Z
dc.date.available2022-05-05T06:28:21Z
dc.date.issued2022-05-05
dc.identifier.citationAyebazibwe, Raymond. (2022). Quantifying the Contribution of Distributed Energy Resources to Power Systems Resilience. (Unpublished undergraduate dissertation) Makerere University; Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/12129
dc.descriptionA research report submitted to the College of Engineering Design and Art in partial fulfillment of the requirement for the award of a degree Bachelor of Science Electrical Engineering of Makerere University.en_US
dc.description.abstractDistributed energy resources have a large effect on the power system resilience once integrated to various power system networks. However due to the low frequency high impact events affecting power systems, there has been a increase in power outages leading to the importance of power systems resilience. The clarity on the concept of power systems resilience is relatively low but quanti fication can be achieved through the use of resilience metrics and employing a good load restoration scheme based on the contribution of distributed energy resources upon the occurrence of low frequency high impact events. The area of study being Karamoja situated in northern Uganda having several distributed energy resources connected to its power network along the main grid evacuated from Umeme. A case study is originated from an IEEE 12-busbar system of Karamoja transmission and distribution network to investigate the effect of distributed energy resources to power system resilience. A sequential Monte carlo simulation is done using the DigSILENT power factory software with DER penetration levels as a basis for showing the contribution of distributed energy resources.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectDistributed Energy Resourcesen_US
dc.subjectPower Systems Resilienceen_US
dc.titleQuantifying the Contribution of Distributed Energy Resources to Power Systems Resilienceen_US
dc.typeThesisen_US


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