Intra-Day Dynamic Network Reconfiguration Based on Probability Analysis Considering the Deployment of Remote Control Switches

With the continuous development of renewable distributed generation (DG) in distribution network, the effective integration of DGs to make system operation safe and economic has become a major concern. Dynamic network reconfiguration, which relies on the remote control switches, is being considered...

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Main Authors: Zifa Liu, Yunyang Liu, Gaoqiang Qu, Xinyue Wang, Xuyang Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8854063/
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author Zifa Liu
Yunyang Liu
Gaoqiang Qu
Xinyue Wang
Xuyang Wang
author_facet Zifa Liu
Yunyang Liu
Gaoqiang Qu
Xinyue Wang
Xuyang Wang
author_sort Zifa Liu
collection DOAJ
description With the continuous development of renewable distributed generation (DG) in distribution network, the effective integration of DGs to make system operation safe and economic has become a major concern. Dynamic network reconfiguration, which relies on the remote control switches, is being considered as an efficient method to solve the above problem. An optimal model of intra-day dynamic reconfiguration is proposed to maximize the accommodation revenue of DGs and minimize the operation cost of distribution network considering the deployment constraint of remote control switches. Besides the traditional constraints, the number of remote control switches and their action times are considered as the constraints and checked before calculating the reconfiguration model which can improve the efficiency of reconfiguration. In order to solve the dynamic reconfiguration model, time period reduction strategy and decimal coding strategy are developed to improve the coding efficiency, and tree coding is adopted to test the radiation of distribution network. In addition, a probabilistic analysis method is used to deal with the randomness of DGs. Finally, the feasibility and effectiveness of the proposed model are verified by the IEEE33 node system.
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spelling doaj.art-2fcb468d4ec844809bbb8d022cf49ebe2022-12-21T22:26:17ZengIEEEIEEE Access2169-35362019-01-01714527214528110.1109/ACCESS.2019.29449178854063Intra-Day Dynamic Network Reconfiguration Based on Probability Analysis Considering the Deployment of Remote Control SwitchesZifa Liu0Yunyang Liu1https://orcid.org/0000-0001-9464-6248Gaoqiang Qu2Xinyue Wang3https://orcid.org/0000-0003-4100-7092Xuyang Wang4School of Electric and Electronic, North China Electric Power University, Beijing, ChinaSchool of Electric and Electronic, North China Electric Power University, Beijing, ChinaState Grid Ningxia Electric Power Company Ltd., Ningxia, ChinaSchool of Electric and Electronic, North China Electric Power University, Beijing, ChinaState Grid Materials Company Ltd., Beijing, ChinaWith the continuous development of renewable distributed generation (DG) in distribution network, the effective integration of DGs to make system operation safe and economic has become a major concern. Dynamic network reconfiguration, which relies on the remote control switches, is being considered as an efficient method to solve the above problem. An optimal model of intra-day dynamic reconfiguration is proposed to maximize the accommodation revenue of DGs and minimize the operation cost of distribution network considering the deployment constraint of remote control switches. Besides the traditional constraints, the number of remote control switches and their action times are considered as the constraints and checked before calculating the reconfiguration model which can improve the efficiency of reconfiguration. In order to solve the dynamic reconfiguration model, time period reduction strategy and decimal coding strategy are developed to improve the coding efficiency, and tree coding is adopted to test the radiation of distribution network. In addition, a probabilistic analysis method is used to deal with the randomness of DGs. Finally, the feasibility and effectiveness of the proposed model are verified by the IEEE33 node system.https://ieeexplore.ieee.org/document/8854063/Intra-day dynamic reconfigurationprobabilistic analysis methodremote control switch constrainttime period reduction
spellingShingle Zifa Liu
Yunyang Liu
Gaoqiang Qu
Xinyue Wang
Xuyang Wang
Intra-Day Dynamic Network Reconfiguration Based on Probability Analysis Considering the Deployment of Remote Control Switches
IEEE Access
Intra-day dynamic reconfiguration
probabilistic analysis method
remote control switch constraint
time period reduction
title Intra-Day Dynamic Network Reconfiguration Based on Probability Analysis Considering the Deployment of Remote Control Switches
title_full Intra-Day Dynamic Network Reconfiguration Based on Probability Analysis Considering the Deployment of Remote Control Switches
title_fullStr Intra-Day Dynamic Network Reconfiguration Based on Probability Analysis Considering the Deployment of Remote Control Switches
title_full_unstemmed Intra-Day Dynamic Network Reconfiguration Based on Probability Analysis Considering the Deployment of Remote Control Switches
title_short Intra-Day Dynamic Network Reconfiguration Based on Probability Analysis Considering the Deployment of Remote Control Switches
title_sort intra day dynamic network reconfiguration based on probability analysis considering the deployment of remote control switches
topic Intra-day dynamic reconfiguration
probabilistic analysis method
remote control switch constraint
time period reduction
url https://ieeexplore.ieee.org/document/8854063/
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AT gaoqiangqu intradaydynamicnetworkreconfigurationbasedonprobabilityanalysisconsideringthedeploymentofremotecontrolswitches
AT xinyuewang intradaydynamicnetworkreconfigurationbasedonprobabilityanalysisconsideringthedeploymentofremotecontrolswitches
AT xuyangwang intradaydynamicnetworkreconfigurationbasedonprobabilityanalysisconsideringthedeploymentofremotecontrolswitches