Resilience characterization and evaluation model of field area network for the power distribution network

To analyze the robustness and reliability of field area network (FAN) in the power distribution network, a quantifiable network resilience characterization and evaluation model was proposed.The elasticity indicator was defined from network connectivity, robustness and redundancy, and the total netwo...

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Main Authors: Fang XIAO, Shuyan YANG, Bo WEN, Xiaorong ZHU
Format: Article
Language:zho
Published: China InfoCom Media Group 2022-09-01
Series:物联网学报
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Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00287/
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author Fang XIAO
Shuyan YANG
Bo WEN
Xiaorong ZHU
author_facet Fang XIAO
Shuyan YANG
Bo WEN
Xiaorong ZHU
author_sort Fang XIAO
collection DOAJ
description To analyze the robustness and reliability of field area network (FAN) in the power distribution network, a quantifiable network resilience characterization and evaluation model was proposed.The elasticity indicator was defined from network connectivity, robustness and redundancy, and the total network elasticity was calculated by the weighted sum.The resilience performance of FAN was evaluated by simulating random failures and malicious attacks.A single node failure was simulated and tested to evaluate the difference in network resilience a affected by different node failures and find the weak points of resilience in the network.The elastic characterization and evaluation model was extended to general network topologies, and simulation experiments were carried out using BA scale-free network and ER random network.The experimental results demonstrate the universality of the model.
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institution Kabale University
issn 2096-3750
language zho
publishDate 2022-09-01
publisher China InfoCom Media Group
record_format Article
series 物联网学报
spelling doaj-art-4e27d686adc344a8bb5f24c1fb2b46432025-01-15T02:53:46ZzhoChina InfoCom Media Group物联网学报2096-37502022-09-016718159650982Resilience characterization and evaluation model of field area network for the power distribution networkFang XIAOShuyan YANGBo WENXiaorong ZHUTo analyze the robustness and reliability of field area network (FAN) in the power distribution network, a quantifiable network resilience characterization and evaluation model was proposed.The elasticity indicator was defined from network connectivity, robustness and redundancy, and the total network elasticity was calculated by the weighted sum.The resilience performance of FAN was evaluated by simulating random failures and malicious attacks.A single node failure was simulated and tested to evaluate the difference in network resilience a affected by different node failures and find the weak points of resilience in the network.The elastic characterization and evaluation model was extended to general network topologies, and simulation experiments were carried out using BA scale-free network and ER random network.The experimental results demonstrate the universality of the model.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00287/FANresilienceevaluation modelmalicious attackrandom failure
spellingShingle Fang XIAO
Shuyan YANG
Bo WEN
Xiaorong ZHU
Resilience characterization and evaluation model of field area network for the power distribution network
物联网学报
FAN
resilience
evaluation model
malicious attack
random failure
title Resilience characterization and evaluation model of field area network for the power distribution network
title_full Resilience characterization and evaluation model of field area network for the power distribution network
title_fullStr Resilience characterization and evaluation model of field area network for the power distribution network
title_full_unstemmed Resilience characterization and evaluation model of field area network for the power distribution network
title_short Resilience characterization and evaluation model of field area network for the power distribution network
title_sort resilience characterization and evaluation model of field area network for the power distribution network
topic FAN
resilience
evaluation model
malicious attack
random failure
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00287/
work_keys_str_mv AT fangxiao resiliencecharacterizationandevaluationmodeloffieldareanetworkforthepowerdistributionnetwork
AT shuyanyang resiliencecharacterizationandevaluationmodeloffieldareanetworkforthepowerdistributionnetwork
AT bowen resiliencecharacterizationandevaluationmodeloffieldareanetworkforthepowerdistributionnetwork
AT xiaorongzhu resiliencecharacterizationandevaluationmodeloffieldareanetworkforthepowerdistributionnetwork