A bi‐level mobile energy storage pre‐positioning method for distribution network coupled with transportation network against typhoon disaster
Abstract Mobile energy storage (MES), as a flexible resource, plays a significant role in disaster emergency response. Rational pre‐positioning ahead of disasters can accelerate the dispatch of MES to power outage areas, and further reduce load losses. This paper focuses on typhoon disasters and stu...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-12-01
|
Series: | IET Renewable Power Generation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rpg2.12996 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832579842003959808 |
---|---|
author | Ke Zhou Qingren Jin Bin Feng Lifang Wu |
author_facet | Ke Zhou Qingren Jin Bin Feng Lifang Wu |
author_sort | Ke Zhou |
collection | DOAJ |
description | Abstract Mobile energy storage (MES), as a flexible resource, plays a significant role in disaster emergency response. Rational pre‐positioning ahead of disasters can accelerate the dispatch of MES to power outage areas, and further reduce load losses. This paper focuses on typhoon disasters and studies the MES pre‐positioning method for distribution networks coupled with transportation networks. Firstly, a typhoon model considering the typhoon eye was formulated. Secondly, the analysis covering the diverse impacts of typhoons on the ‘generation‐transmission‐load‐road’ system was conducted. Subsequently, a bi‐level pre‐positioning model, considering multi‐index evaluation, was established based on scenario‐based stochastic optimization. Finally, the modified MATPOWER 18‐node test system was utilized to verify the performance of the proposed method, and the simulation results demonstrated its effectiveness and applicability. |
format | Article |
id | doaj-art-1ba37b59044c44858d3a82202fd2763e |
institution | Kabale University |
issn | 1752-1416 1752-1424 |
language | English |
publishDate | 2024-12-01 |
publisher | Wiley |
record_format | Article |
series | IET Renewable Power Generation |
spelling | doaj-art-1ba37b59044c44858d3a82202fd2763e2025-01-30T12:15:53ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118163776378710.1049/rpg2.12996A bi‐level mobile energy storage pre‐positioning method for distribution network coupled with transportation network against typhoon disasterKe Zhou0Qingren Jin1Bin Feng2Lifang Wu3Electric Power Research Institute Guangxi Power Grid Co., Ltd. Nanning ChinaElectric Power Research Institute Guangxi Power Grid Co., Ltd. Nanning ChinaElectric Power Research Institute Guangxi Power Grid Co., Ltd. Nanning ChinaElectric Power Research Institute Guangxi Power Grid Co., Ltd. Nanning ChinaAbstract Mobile energy storage (MES), as a flexible resource, plays a significant role in disaster emergency response. Rational pre‐positioning ahead of disasters can accelerate the dispatch of MES to power outage areas, and further reduce load losses. This paper focuses on typhoon disasters and studies the MES pre‐positioning method for distribution networks coupled with transportation networks. Firstly, a typhoon model considering the typhoon eye was formulated. Secondly, the analysis covering the diverse impacts of typhoons on the ‘generation‐transmission‐load‐road’ system was conducted. Subsequently, a bi‐level pre‐positioning model, considering multi‐index evaluation, was established based on scenario‐based stochastic optimization. Finally, the modified MATPOWER 18‐node test system was utilized to verify the performance of the proposed method, and the simulation results demonstrated its effectiveness and applicability.https://doi.org/10.1049/rpg2.12996disastersdistribution networksenergy storage |
spellingShingle | Ke Zhou Qingren Jin Bin Feng Lifang Wu A bi‐level mobile energy storage pre‐positioning method for distribution network coupled with transportation network against typhoon disaster IET Renewable Power Generation disasters distribution networks energy storage |
title | A bi‐level mobile energy storage pre‐positioning method for distribution network coupled with transportation network against typhoon disaster |
title_full | A bi‐level mobile energy storage pre‐positioning method for distribution network coupled with transportation network against typhoon disaster |
title_fullStr | A bi‐level mobile energy storage pre‐positioning method for distribution network coupled with transportation network against typhoon disaster |
title_full_unstemmed | A bi‐level mobile energy storage pre‐positioning method for distribution network coupled with transportation network against typhoon disaster |
title_short | A bi‐level mobile energy storage pre‐positioning method for distribution network coupled with transportation network against typhoon disaster |
title_sort | bi level mobile energy storage pre positioning method for distribution network coupled with transportation network against typhoon disaster |
topic | disasters distribution networks energy storage |
url | https://doi.org/10.1049/rpg2.12996 |
work_keys_str_mv | AT kezhou abilevelmobileenergystorageprepositioningmethodfordistributionnetworkcoupledwithtransportationnetworkagainsttyphoondisaster AT qingrenjin abilevelmobileenergystorageprepositioningmethodfordistributionnetworkcoupledwithtransportationnetworkagainsttyphoondisaster AT binfeng abilevelmobileenergystorageprepositioningmethodfordistributionnetworkcoupledwithtransportationnetworkagainsttyphoondisaster AT lifangwu abilevelmobileenergystorageprepositioningmethodfordistributionnetworkcoupledwithtransportationnetworkagainsttyphoondisaster AT kezhou bilevelmobileenergystorageprepositioningmethodfordistributionnetworkcoupledwithtransportationnetworkagainsttyphoondisaster AT qingrenjin bilevelmobileenergystorageprepositioningmethodfordistributionnetworkcoupledwithtransportationnetworkagainsttyphoondisaster AT binfeng bilevelmobileenergystorageprepositioningmethodfordistributionnetworkcoupledwithtransportationnetworkagainsttyphoondisaster AT lifangwu bilevelmobileenergystorageprepositioningmethodfordistributionnetworkcoupledwithtransportationnetworkagainsttyphoondisaster |