Resilience-Oriented Distribution System Reconfiguration for Service Restoration Considering Distributed Generations

Significant evolution of distribution system, including distributed generation, microgrids and remote- controlled switches (RCSs), lead to novel and effective distribution system restoration (DSR) strategies. This paper proposes a resilience-oriented reconfiguration method to restore service to inte...

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Main Authors: Wang, Peng, Zhang, Huajun, Yao, Shuhan, Zhao, Tianyang
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2017
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Online Access:https://hdl.handle.net/10356/80428
http://hdl.handle.net/10220/43448
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-804282020-11-01T04:43:42Z Resilience-Oriented Distribution System Reconfiguration for Service Restoration Considering Distributed Generations Wang, Peng Zhang, Huajun Yao, Shuhan Zhao, Tianyang School of Electrical and Electronic Engineering Interdisciplinary Graduate School (IGS) 2017 IEEE Power and Energy Society General Meeting (PESGM) Institute of Catastrophe Risk Management Resilience Service restoration Significant evolution of distribution system, including distributed generation, microgrids and remote- controlled switches (RCSs), lead to novel and effective distribution system restoration (DSR) strategies. This paper proposes a resilience-oriented reconfiguration method to restore service to interrupted customers in distribution system as expeditious as possible after major blackouts. A structural model with virtual node and branches is provided to describe the radial structure constraint. The energy limits within microgrids are taken into considerations to account for scarcity of generation resources. The optimization problem is formulated as mixed-integer second- order cone programming (MISOCP), which employs a convex representation of a distribution network model on the basis of the conic quadratic format of the power flow equations. Case study is implemented on a modified 33-bus test system to verify the propose method. NRF (Natl Research Foundation, S’pore) Accepted version 2017-07-26T07:04:10Z 2019-12-06T13:49:12Z 2017-07-26T07:04:10Z 2019-12-06T13:49:12Z 2017 Conference Paper Yao, S., Zhao, T., Wang, P., & Zhang, H. (2017). Resilience-Oriented Distribution System Reconfiguration for Service Restoration Considering Distributed Generations. 2017 IEEE Power and Energy Society General Meeting (PESGM). https://hdl.handle.net/10356/80428 http://hdl.handle.net/10220/43448 en © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. 5 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Resilience
Service restoration
spellingShingle Resilience
Service restoration
Wang, Peng
Zhang, Huajun
Yao, Shuhan
Zhao, Tianyang
Resilience-Oriented Distribution System Reconfiguration for Service Restoration Considering Distributed Generations
description Significant evolution of distribution system, including distributed generation, microgrids and remote- controlled switches (RCSs), lead to novel and effective distribution system restoration (DSR) strategies. This paper proposes a resilience-oriented reconfiguration method to restore service to interrupted customers in distribution system as expeditious as possible after major blackouts. A structural model with virtual node and branches is provided to describe the radial structure constraint. The energy limits within microgrids are taken into considerations to account for scarcity of generation resources. The optimization problem is formulated as mixed-integer second- order cone programming (MISOCP), which employs a convex representation of a distribution network model on the basis of the conic quadratic format of the power flow equations. Case study is implemented on a modified 33-bus test system to verify the propose method.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wang, Peng
Zhang, Huajun
Yao, Shuhan
Zhao, Tianyang
format Conference or Workshop Item
author Wang, Peng
Zhang, Huajun
Yao, Shuhan
Zhao, Tianyang
author_sort Wang, Peng
title Resilience-Oriented Distribution System Reconfiguration for Service Restoration Considering Distributed Generations
title_short Resilience-Oriented Distribution System Reconfiguration for Service Restoration Considering Distributed Generations
title_full Resilience-Oriented Distribution System Reconfiguration for Service Restoration Considering Distributed Generations
title_fullStr Resilience-Oriented Distribution System Reconfiguration for Service Restoration Considering Distributed Generations
title_full_unstemmed Resilience-Oriented Distribution System Reconfiguration for Service Restoration Considering Distributed Generations
title_sort resilience-oriented distribution system reconfiguration for service restoration considering distributed generations
publishDate 2017
url https://hdl.handle.net/10356/80428
http://hdl.handle.net/10220/43448
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