Distribution system reconfiguration for service restoration – part II : maximal restoration coverage method

The foundation of global distribution network infrastructures is based on principles of reliability that anchors on both sufficiency and security. Upholding this will empower distribution systems to function safely, resulting with minimal interruptions for consumers under normal operating conditions...

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Main Author: Loh, Aik Hau
Other Authors: Wang Peng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140282
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1402822023-07-07T18:48:19Z Distribution system reconfiguration for service restoration – part II : maximal restoration coverage method Loh, Aik Hau Wang Peng School of Electrical and Electronic Engineering epwang@staff.main.ntu.edu.sg Engineering::Electrical and electronic engineering The foundation of global distribution network infrastructures is based on principles of reliability that anchors on both sufficiency and security. Upholding this will empower distribution systems to function safely, resulting with minimal interruptions for consumers under normal operating conditions. However, the awareness of possible power grid outages due to unpredictable and unprecedented failures then led to the study of effective restoration strategies, in hopes of establishing highly resilient power systems worldwide. The resiliency of power system speaks of its ability to withstand, adjust, and promptly recover during a disruption. Hence, implementing these techniques would enhance overall situational awareness of the system and greatly reduce restoration time. The objective of this project is to achieve maximal restoration coverage through the means of distribution system reconfiguration. Self-adequate microgrids along with the dynamic changes after major blackouts occur will be investigated. The mathematical modelling of the various components, its constraints and variables that are in the system infrastructure will be studied as well. The implementation and its results will be simulated in python software and solved by commercial optimization solvers. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-27T12:32:16Z 2020-05-27T12:32:16Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140282 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Loh, Aik Hau
Distribution system reconfiguration for service restoration – part II : maximal restoration coverage method
description The foundation of global distribution network infrastructures is based on principles of reliability that anchors on both sufficiency and security. Upholding this will empower distribution systems to function safely, resulting with minimal interruptions for consumers under normal operating conditions. However, the awareness of possible power grid outages due to unpredictable and unprecedented failures then led to the study of effective restoration strategies, in hopes of establishing highly resilient power systems worldwide. The resiliency of power system speaks of its ability to withstand, adjust, and promptly recover during a disruption. Hence, implementing these techniques would enhance overall situational awareness of the system and greatly reduce restoration time. The objective of this project is to achieve maximal restoration coverage through the means of distribution system reconfiguration. Self-adequate microgrids along with the dynamic changes after major blackouts occur will be investigated. The mathematical modelling of the various components, its constraints and variables that are in the system infrastructure will be studied as well. The implementation and its results will be simulated in python software and solved by commercial optimization solvers.
author2 Wang Peng
author_facet Wang Peng
Loh, Aik Hau
format Final Year Project
author Loh, Aik Hau
author_sort Loh, Aik Hau
title Distribution system reconfiguration for service restoration – part II : maximal restoration coverage method
title_short Distribution system reconfiguration for service restoration – part II : maximal restoration coverage method
title_full Distribution system reconfiguration for service restoration – part II : maximal restoration coverage method
title_fullStr Distribution system reconfiguration for service restoration – part II : maximal restoration coverage method
title_full_unstemmed Distribution system reconfiguration for service restoration – part II : maximal restoration coverage method
title_sort distribution system reconfiguration for service restoration – part ii : maximal restoration coverage method
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/140282
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