Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters

Coastal cities often face typhoons and urban water logs, which can cause power outages and significant economic losses. Therefore, it is necessary to study the impact of these disasters on urban distribution networks and improve their flexibility. This paper presents a method for predicting power-gr...
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Gespeichert in:

Autor*in:	Nan Ma [verfasserIn] Ziwen Xu [verfasserIn] Yijun Wang [verfasserIn] Guowei Liu [verfasserIn] Lisheng Xin [verfasserIn] Dafu Liu [verfasserIn] Ziyu Liu [verfasserIn] Jiaju Shi [verfasserIn] Chen Chen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	water-logging disaster distribution network restoration dynamic network reconstruction elastic distribution network

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 17(2024), 5, p 1165
Übergeordnetes Werk:	volume:17 ; year:2024 ; number:5, p 1165

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en17051165

Katalog-ID:	DOAJ091265436

Internformat


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allfieldsSound	10.3390/en17051165 doi (DE-627)DOAJ091265436 (DE-599)DOAJ513a0a5e97ce4f5e9c30d3f1b03c78b6 DE-627 ger DE-627 rakwb eng Nan Ma verfasserin aut Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Coastal cities often face typhoons and urban water logs, which can cause power outages and significant economic losses. Therefore, it is necessary to study the impact of these disasters on urban distribution networks and improve their flexibility. This paper presents a method for predicting power-grid failure rates in typhoons and water logs and suggests a strategy for improving network elasticity after the disaster. It is crucial for the operation and maintenance of power distribution systems during typhoon and water-logging disasters. By mapping the wind speed and water depth at the corresponding positions in the evolution of wind and water logging disasters to the vulnerability curve, the failure probability of the corresponding nodes is obtained, the fault scenario is generated randomly, and the proposed dynamic reconstruction method, which can react in real-time to the damage the distribution system received, has been tested on a modified 33-node and a 118-node distribution network, with 3 and 11 distribution generators loaded, respectively. The results proved that this method can effectively improve the resiliency of the distribution network after a disaster compared with the traditional static reconstruction method, especially in the case of long-lasting wind and flood disasters that have complex and significant impacts on the distribution system, with about 26% load supply for the 33-node system and nearly 95% for the 118-node system. water-logging disaster distribution network restoration dynamic network reconstruction elastic distribution network Technology T Ziwen Xu verfasserin aut Yijun Wang verfasserin aut Guowei Liu verfasserin aut Lisheng Xin verfasserin aut Dafu Liu verfasserin aut Ziyu Liu verfasserin aut Jiaju Shi verfasserin aut Chen Chen verfasserin aut In Energies MDPI AG, 2008 17(2024), 5, p 1165 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:17 year:2024 number:5, p 1165 https://doi.org/10.3390/en17051165 kostenfrei https://doaj.org/article/513a0a5e97ce4f5e9c30d3f1b03c78b6 kostenfrei https://www.mdpi.com/1996-1073/17/5/1165 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2024 5, p 1165
language	English
source	In Energies 17(2024), 5, p 1165 volume:17 year:2024 number:5, p 1165
sourceStr	In Energies 17(2024), 5, p 1165 volume:17 year:2024 number:5, p 1165
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authorswithroles_txt_mv	Nan Ma @@aut@@ Ziwen Xu @@aut@@ Yijun Wang @@aut@@ Guowei Liu @@aut@@ Lisheng Xin @@aut@@ Dafu Liu @@aut@@ Ziyu Liu @@aut@@ Jiaju Shi @@aut@@ Chen Chen @@aut@@
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author	Nan Ma
spellingShingle	Nan Ma misc water-logging disaster misc distribution network restoration misc dynamic network reconstruction misc elastic distribution network misc Technology misc T Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters
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topic_title	Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters water-logging disaster distribution network restoration dynamic network reconstruction elastic distribution network
topic	misc water-logging disaster misc distribution network restoration misc dynamic network reconstruction misc elastic distribution network misc Technology misc T
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title	Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters
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author_browse	Nan Ma Ziwen Xu Yijun Wang Guowei Liu Lisheng Xin Dafu Liu Ziyu Liu Jiaju Shi Chen Chen
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title_sort	strategies for improving the resiliency of distribution networks in electric power systems during typhoon and water-logging disasters
title_auth	Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters
abstract	Coastal cities often face typhoons and urban water logs, which can cause power outages and significant economic losses. Therefore, it is necessary to study the impact of these disasters on urban distribution networks and improve their flexibility. This paper presents a method for predicting power-grid failure rates in typhoons and water logs and suggests a strategy for improving network elasticity after the disaster. It is crucial for the operation and maintenance of power distribution systems during typhoon and water-logging disasters. By mapping the wind speed and water depth at the corresponding positions in the evolution of wind and water logging disasters to the vulnerability curve, the failure probability of the corresponding nodes is obtained, the fault scenario is generated randomly, and the proposed dynamic reconstruction method, which can react in real-time to the damage the distribution system received, has been tested on a modified 33-node and a 118-node distribution network, with 3 and 11 distribution generators loaded, respectively. The results proved that this method can effectively improve the resiliency of the distribution network after a disaster compared with the traditional static reconstruction method, especially in the case of long-lasting wind and flood disasters that have complex and significant impacts on the distribution system, with about 26% load supply for the 33-node system and nearly 95% for the 118-node system.
abstractGer	Coastal cities often face typhoons and urban water logs, which can cause power outages and significant economic losses. Therefore, it is necessary to study the impact of these disasters on urban distribution networks and improve their flexibility. This paper presents a method for predicting power-grid failure rates in typhoons and water logs and suggests a strategy for improving network elasticity after the disaster. It is crucial for the operation and maintenance of power distribution systems during typhoon and water-logging disasters. By mapping the wind speed and water depth at the corresponding positions in the evolution of wind and water logging disasters to the vulnerability curve, the failure probability of the corresponding nodes is obtained, the fault scenario is generated randomly, and the proposed dynamic reconstruction method, which can react in real-time to the damage the distribution system received, has been tested on a modified 33-node and a 118-node distribution network, with 3 and 11 distribution generators loaded, respectively. The results proved that this method can effectively improve the resiliency of the distribution network after a disaster compared with the traditional static reconstruction method, especially in the case of long-lasting wind and flood disasters that have complex and significant impacts on the distribution system, with about 26% load supply for the 33-node system and nearly 95% for the 118-node system.
abstract_unstemmed	Coastal cities often face typhoons and urban water logs, which can cause power outages and significant economic losses. Therefore, it is necessary to study the impact of these disasters on urban distribution networks and improve their flexibility. This paper presents a method for predicting power-grid failure rates in typhoons and water logs and suggests a strategy for improving network elasticity after the disaster. It is crucial for the operation and maintenance of power distribution systems during typhoon and water-logging disasters. By mapping the wind speed and water depth at the corresponding positions in the evolution of wind and water logging disasters to the vulnerability curve, the failure probability of the corresponding nodes is obtained, the fault scenario is generated randomly, and the proposed dynamic reconstruction method, which can react in real-time to the damage the distribution system received, has been tested on a modified 33-node and a 118-node distribution network, with 3 and 11 distribution generators loaded, respectively. The results proved that this method can effectively improve the resiliency of the distribution network after a disaster compared with the traditional static reconstruction method, especially in the case of long-lasting wind and flood disasters that have complex and significant impacts on the distribution system, with about 26% load supply for the 33-node system and nearly 95% for the 118-node system.
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title_short	Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters
url	https://doi.org/10.3390/en17051165 https://doaj.org/article/513a0a5e97ce4f5e9c30d3f1b03c78b6 https://www.mdpi.com/1996-1073/17/5/1165 https://doaj.org/toc/1996-1073
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author2	Ziwen Xu Yijun Wang Guowei Liu Lisheng Xin Dafu Liu Ziyu Liu Jiaju Shi Chen Chen
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up_date	2024-07-03T19:27:14.492Z
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Strategies for Improving the Resiliency of Distribution Networks in Electric Power Systems during Typhoon and Water-Logging Disasters

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