Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/140013
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dc.contributor.authorNg, Si Qien_US
dc.date.accessioned2020-05-26T04:20:16Z-
dc.date.available2020-05-26T04:20:16Z-
dc.date.issued2020-
dc.identifier.urihttps://hdl.handle.net/10356/140013-
dc.description.abstractIn recent years, technology in Distributed Generators has advanced, resulting in higher reliability and lower costs. Moreover, improvements in renewable energy sectors had enabled distributed generators to be much more environmentally friendly. Therefore, this technology has greatly sparked the interest of consumers. Extensive research is carried out in this paper on various kinds of distributed generators to obtain the most suitable distributed generator for the configuration. This study anticipates the arrival of a substantial power disruption by relocating the distributed generators in the power network system to enhance resilience. To achieve the optimal network configuration, this paper proposed minimal total system restoration cost approach. The relevant costs include consumer interruption cost and investment cost of the distributed generators. The proposed restoration problem is formulated as Mixed-Integer Linear Programme, taking into consideration of various distributed generators and power system operating constraints. A modified 33-bus test system is verified with six faults and three types of consumers (industrial, commercial and residential) in a reasonable time span. The results obtained showed how consumers are less likely to be affected by disruptions when distributed generators are present. The amount of distributed generators deployed and the location installed have a significant effect on network costs and benefits.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA1207-191en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleResilience of power distribution systemsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorWang Pengen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.researchEnergy Research Institute @NTUen_US
dc.contributor.supervisoremailepwang@ntu.edu.sgen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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