Resilience of power distribution systems

In 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 inte...

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Bibliographic Details
Main Author: Ng, Si Qi
Other Authors: Wang Peng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140013
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Institution: Nanyang Technological University
Language: English
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Summary:In 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.